{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-karanb192-reddit-mcp-buddy","slug":"mcp-karanb192-reddit-mcp-buddy","name":"reddit-mcp-buddy","type":"mcp","url":"https://github.com/karanb192/reddit-mcp-buddy","page_url":"https://unfragile.ai/mcp-karanb192-reddit-mcp-buddy","categories":["mcp-servers"],"tags":["ai-assistant","claude","mcp","mcp-server","model-context-protocol","reddit","reddit-api","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_0","uri":"capability://tool.use.integration.mcp.protocol.based.reddit.tool.exposure.with.stdio.and.http.transport.modes","name":"mcp protocol-based reddit tool exposure with stdio and http transport modes","description":"Exposes five specialized Reddit tools through the Model Context Protocol using dual transport layers: StdioServerTransport for Claude Desktop integration and StreamableHTTPServerTransport on port 3000 for testing/debugging. The MCP server core (src/mcp-server.ts) handles protocol negotiation, schema validation, and tool routing with full TypeScript type safety. Supports both synchronous and streaming responses through MCP's standardized message format.","intents":["Integrate Reddit data access directly into Claude Desktop without custom API wrappers","Enable AI assistants to call Reddit tools through standardized MCP protocol","Debug and test MCP tool implementations via HTTP endpoint during development","Route tool requests through schema-validated handlers with proper error handling"],"best_for":["AI assistant developers building Claude Desktop integrations","Teams deploying MCP servers for LLM-powered applications","Developers debugging MCP tool implementations"],"limitations":["Stdio mode requires Claude Desktop or compatible MCP client — no standalone HTTP-only operation","HTTP mode on port 3000 is for testing only, not production-grade","MCP protocol overhead adds ~50-100ms per request due to message serialization"],"requires":["Node.js 18+","TypeScript 5.5+ with strict mode enabled","@modelcontextprotocol/sdk package","Claude Desktop 0.1.0+ or compatible MCP client for stdio mode"],"input_types":["MCP tool call requests (JSON-RPC 2.0 format)","Tool parameters as structured objects matching schema definitions"],"output_types":["MCP tool results (JSON-RPC responses)","Structured Reddit data (posts, comments, user profiles)","Error responses with diagnostic information"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_1","uri":"capability://safety.moderation.three.tier.authentication.with.adaptive.rate.limiting.10.60.100.rpm","name":"three-tier authentication with adaptive rate limiting (10/60/100 rpm)","description":"Implements AuthManager class with three authentication modes: anonymous (10 req/min via public endpoints), OAuth2 user credentials (60 req/min), and app credentials (100 req/min). Uses sliding window algorithm for rate limit enforcement with in-memory promise tracking to prevent duplicate in-flight API calls. Credentials are validated at request time and cached to avoid repeated authentication overhead.","intents":["Use Reddit data without API registration for quick prototyping","Authenticate with personal Reddit credentials for higher rate limits","Deploy with app credentials for production workloads requiring 100 req/min throughput","Prevent thundering herd problems by deduplicating concurrent identical requests"],"best_for":["Developers prototyping Reddit integrations without OAuth setup","Personal projects requiring moderate API access (60 req/min)","Production deployments with registered Reddit apps"],"limitations":["Anonymous mode limited to 10 req/min — insufficient for high-volume analysis","Rate limits are per-instance in-memory — no distributed rate limiting across multiple server instances","OAuth2 flow requires manual credential setup and Reddit app registration","Sliding window algorithm uses wall-clock time, not request timestamps — clock skew can cause limit violations"],"requires":["Reddit account (optional for anonymous mode)","Reddit app credentials (client_id, client_secret) for OAuth2 mode","Environment variables: REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET, REDDIT_USERNAME, REDDIT_PASSWORD (optional)"],"input_types":["Authentication credentials (username/password or OAuth tokens)","API request parameters"],"output_types":["Authentication tokens (cached in memory)","Rate limit status (remaining requests, reset time)","API responses with auth headers"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_10","uri":"capability://automation.workflow.docker.containerization.with.environment.variable.configuration","name":"docker containerization with environment variable configuration","description":"Provides Dockerfile and docker-compose configuration for containerized deployment. Supports environment variable injection for Reddit credentials, cache size, rate limits, and port configuration. Enables easy deployment to Docker registries, Kubernetes clusters, or cloud platforms without manual setup. Includes health check endpoints for container orchestration.","intents":["Deploy MCP server to Docker containers for cloud platforms","Configure server behavior via environment variables without code changes","Enable Kubernetes deployments with health checks and auto-scaling","Simplify CI/CD pipelines by containerizing the MCP server"],"best_for":["Teams deploying MCP servers to cloud platforms (AWS, GCP, Azure)","Kubernetes-based deployments requiring container orchestration","CI/CD pipelines using Docker for reproducible builds"],"limitations":["Docker image size ~500MB due to Node.js runtime and dependencies","In-memory cache is lost on container restart — no persistent storage","Health check endpoint adds ~5-10ms latency per check","Environment variable configuration requires container restart to apply changes","No built-in logging aggregation — requires external log collection"],"requires":["Docker 20.10+ or Docker Desktop","docker-compose 1.29+ (optional, for multi-container setup)","Environment variables: REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET, etc."],"input_types":["Dockerfile configuration","Environment variables","docker-compose.yml specification"],"output_types":["Docker image (tagged for registry)","Running container with exposed port 3000 (HTTP) or stdio (MCP)","Health check status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_11","uri":"capability://code.generation.editing.typescript.strict.mode.implementation.with.full.type.safety","name":"typescript strict mode implementation with full type safety","description":"Entire codebase written in TypeScript 5.5+ with strict mode enabled, providing compile-time type checking for all Reddit API interactions, tool parameters, and response handling. Eliminates entire classes of runtime errors (null reference exceptions, type mismatches) common in JavaScript. Includes comprehensive type definitions for Reddit API responses, MCP protocol messages, and internal data structures.","intents":["Catch type errors at compile time before deployment","Enable IDE autocomplete and refactoring for Reddit API integration","Reduce debugging time by eliminating null reference and type mismatch errors","Maintain code quality as codebase grows with multiple contributors"],"best_for":["Teams building production MCP servers requiring reliability","Developers using TypeScript-aware IDEs (VS Code, WebStorm)","Projects with multiple contributors needing type safety"],"limitations":["TypeScript compilation adds ~5-10 seconds to build time","Strict mode requires explicit type annotations — more verbose than JavaScript","Type definitions for Reddit API may lag behind API changes","Runtime errors still possible for external API responses not matching types"],"requires":["TypeScript 5.5+ compiler","Node.js 18+ runtime","tsconfig.json with strict mode enabled"],"input_types":["TypeScript source files (.ts)","Type definition files (.d.ts)"],"output_types":["Compiled JavaScript (.js)","Type checking errors at compile time","Source maps for debugging"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_2","uri":"capability://memory.knowledge.adaptive.ttl.caching.with.50mb.lru.eviction.and.hit.tracking","name":"adaptive ttl caching with 50mb lru eviction and hit tracking","description":"CacheManager implements an LRU (Least Recently Used) cache with 50MB capacity and adaptive time-to-live (2-30 minutes) based on content type and request patterns. Tracks cache hit/miss rates to optimize TTL values dynamically. Uses in-memory storage with automatic eviction when capacity is exceeded, reducing Reddit API calls by caching frequently accessed posts, comments, and user profiles.","intents":["Reduce Reddit API calls by caching frequently accessed posts and user data","Automatically expire stale data based on content freshness requirements","Monitor cache effectiveness to tune TTL values for different content types","Prevent memory bloat by enforcing 50MB capacity limit with LRU eviction"],"best_for":["Long-running MCP servers handling repeated queries for same subreddits/users","Applications with bursty traffic patterns where caching provides 30-50% hit rates","Development environments where cache hits reduce API quota consumption"],"limitations":["In-memory cache is lost on server restart — no persistence layer","50MB capacity insufficient for caching entire large subreddits (>10k posts)","LRU eviction is single-threaded — high concurrency may cause cache thrashing","No distributed cache support — each server instance maintains separate cache","Adaptive TTL tuning requires statistical analysis of hit patterns — initial performance is suboptimal"],"requires":["Node.js with sufficient heap memory (minimum 256MB recommended)","CacheManager instantiation in service layer"],"input_types":["Cache keys (subreddit names, post IDs, usernames)","Reddit API responses (posts, comments, user profiles)"],"output_types":["Cached data (posts, comments, user profiles)","Cache hit/miss metrics","TTL values per content type"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_3","uri":"capability://search.retrieval.semantic.reddit.post.search.with.full.text.indexing.and.relevance.ranking","name":"semantic reddit post search with full-text indexing and relevance ranking","description":"Implements search_posts tool that queries Reddit's full-text search API with support for advanced filters (subreddit, time range, sort order, score thresholds). Returns LLM-optimized structured results with post metadata, comment counts, and engagement metrics. Uses ContentProcessor to clean and format results, removing fake metrics and normalizing data for consistent LLM consumption.","intents":["Find Reddit posts matching specific keywords across subreddits","Filter posts by date range, minimum score, and subreddit to narrow results","Retrieve post metadata (title, author, score, comment count) for analysis","Get clean, structured data optimized for LLM processing without noise"],"best_for":["Researchers analyzing Reddit discussions on specific topics","Content creators finding trending posts in their niche","AI agents gathering background information for decision-making"],"limitations":["Reddit's search API returns results up to 1000 posts only — no pagination beyond that","Search results are not real-time — Reddit caches search results for 5-10 minutes","Advanced operators (regex, boolean) not supported — only keyword matching","Deleted/removed posts still appear in results but with redacted content","Search quality degrades for niche subreddits with <1000 posts"],"requires":["Valid Reddit API credentials (anonymous mode: 10 req/min limit)","Subreddit name or search query string","Optional: time range (day/week/month/year/all), sort order (relevance/hot/top/new)"],"input_types":["Search query (string, 1-500 characters)","Filters: subreddit, time_range, sort, min_score"],"output_types":["Array of posts with: id, title, author, score, comment_count, created_utc, subreddit, url","Structured JSON with pagination metadata"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_4","uri":"capability://search.retrieval.comment.thread.retrieval.with.nested.reply.expansion.and.context.preservation","name":"comment thread retrieval with nested reply expansion and context preservation","description":"Implements get_comments tool that retrieves full comment threads for a given post ID, including nested replies up to configurable depth. Uses Reddit's API to fetch comments in 'best' sort order (default) or alternative sorts (hot, new, top, controversial). Preserves comment context (parent relationships, author info, scores) and flattens nested structures into LLM-friendly format with depth indicators.","intents":["Retrieve all comments and replies for a specific Reddit post","Analyze discussion threads to understand community sentiment","Extract conversation context for training data or analysis","Get nested reply chains with parent-child relationships preserved"],"best_for":["Sentiment analysis on Reddit discussions","Training data collection for conversational AI","Community analysis and discussion mining"],"limitations":["Large threads (>1000 comments) require multiple API calls — response time scales linearly with comment count","Deleted/removed comments appear as '[deleted]' or '[removed]' with no content recovery","Nested depth limited by Reddit API — typically 10-15 levels max before truncation","Comment scores may be inaccurate for recent comments (Reddit fuzzes scores for <1 hour old comments)","Archived posts (>6 months old) cannot be commented on but comments are still retrievable"],"requires":["Valid Reddit post ID (36-character alphanumeric string)","Reddit API credentials (anonymous mode: 10 req/min limit)","Optional: sort order (best/hot/new/top/controversial), limit (1-100 comments per request)"],"input_types":["Post ID (string)","Sort order (enum: best, hot, new, top, controversial)","Depth limit (integer, 1-10)"],"output_types":["Array of comments with: id, author, body, score, created_utc, parent_id, depth","Nested structure preserved with depth indicators","Flattened JSON array for LLM processing"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_5","uri":"capability://search.retrieval.subreddit.metadata.and.post.listing.with.sorting.and.filtering","name":"subreddit metadata and post listing with sorting and filtering","description":"Implements get_subreddit_info tool that retrieves subreddit metadata (description, subscriber count, creation date, rules) and get_subreddit_posts tool that lists posts from a subreddit with configurable sorting (hot/new/top/rising/controversial) and time filtering (day/week/month/year/all). Uses Reddit's API to fetch up to 100 posts per request with pagination support via 'after' tokens.","intents":["Get subreddit statistics and community information for context","Browse trending posts in a subreddit sorted by relevance metric","Filter posts by time period to find recent or historical discussions","Analyze post distribution across different sort orders"],"best_for":["Community researchers analyzing subreddit trends","Content discovery tools finding relevant discussions","AI agents gathering background on specific communities"],"limitations":["Subreddit metadata includes only public information — private subreddit details not accessible","Post listing limited to 100 posts per request — pagination requires multiple API calls","Sorting by 'top' requires time_filter parameter — cannot get all-time top posts in single request","Deleted subreddits return 404 errors without graceful fallback","Quarantined subreddits require special authentication headers"],"requires":["Valid subreddit name (2-21 characters, alphanumeric + underscore)","Reddit API credentials (anonymous mode: 10 req/min limit)","Optional: sort order (hot/new/top/rising/controversial), time_filter (day/week/month/year/all)"],"input_types":["Subreddit name (string)","Sort order (enum: hot, new, top, rising, controversial)","Time filter (enum: day, week, month, year, all)","Limit (integer, 1-100)"],"output_types":["Subreddit metadata: name, description, subscriber_count, created_utc, public_rules","Array of posts with: id, title, author, score, comment_count, created_utc, url","Pagination token ('after') for fetching next batch"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_6","uri":"capability://search.retrieval.user.profile.analysis.with.post.comment.history.and.karma.breakdown","name":"user profile analysis with post/comment history and karma breakdown","description":"Implements get_user_info tool that retrieves user profile data (username, link karma, comment karma, account age, profile description) and get_user_posts tool that fetches user's post/comment history with sorting and filtering. Uses Reddit's API to access public user data with caching to reduce repeated lookups. Breaks down karma by subreddit to identify user's primary communities.","intents":["Analyze user credibility and expertise based on karma and posting history","Identify user's primary communities and interests from post distribution","Track user activity patterns (posting frequency, content type preferences)","Build user profiles for community moderation or reputation analysis"],"best_for":["Community moderators evaluating user trustworthiness","Researchers analyzing Reddit user behavior patterns","AI agents building user context for personalized interactions"],"limitations":["Deleted user accounts return 404 errors — no historical data recovery","User history limited to 1000 most recent posts/comments — older content not accessible","Suspended users' profiles are inaccessible — no public data available","Karma breakdown by subreddit requires parsing individual posts — computationally expensive","Private user profiles (if enabled) show minimal data — only public fields accessible"],"requires":["Valid Reddit username (3-20 characters)","Reddit API credentials (anonymous mode: 10 req/min limit)","Optional: sort order (new/hot/top/controversial), time_filter (day/week/month/year/all)"],"input_types":["Username (string)","Sort order (enum: new, hot, top, controversial)","Time filter (enum: day, week, month, year, all)"],"output_types":["User profile: username, link_karma, comment_karma, created_utc, profile_description","Array of user posts/comments with: id, title/body, score, created_utc, subreddit","Karma breakdown by subreddit (derived from post history)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_7","uri":"capability://data.processing.analysis.llm.optimized.content.formatting.with.metric.normalization.and.noise.removal","name":"llm-optimized content formatting with metric normalization and noise removal","description":"ContentProcessor pipeline cleans Reddit API responses by removing fake engagement metrics (Reddit's vote fuzzing), normalizing timestamps to ISO 8601 format, stripping HTML entities, and formatting text for LLM consumption. Removes redundant fields, collapses nested structures, and adds metadata hints (post age, engagement rate) to help LLMs understand context. Ensures consistent output format across all tools.","intents":["Convert raw Reddit API responses into LLM-friendly structured data","Remove noise and fake metrics that confuse language models","Normalize timestamps and text encoding for consistent processing","Add contextual metadata (post age, engagement rate) for better LLM reasoning"],"best_for":["AI assistants processing Reddit data for analysis or summarization","LLM-based content analysis pipelines requiring clean input","Developers building Reddit-powered AI applications"],"limitations":["Metric normalization removes some Reddit-specific information (vote fuzzing details)","HTML entity stripping may lose formatting in complex posts (tables, code blocks)","Timestamp normalization assumes UTC — timezone information is lost","Engagement rate calculation uses heuristics — not exact Reddit metrics","Processing overhead adds ~10-20ms per response for large comment threads"],"requires":["Raw Reddit API response objects","ContentProcessor instantiation in service layer"],"input_types":["Reddit API responses (posts, comments, user profiles)","Raw JSON from Reddit endpoints"],"output_types":["Cleaned, normalized JSON objects","Flattened structures suitable for LLM consumption","ISO 8601 timestamps, HTML-decoded text, normalized metrics"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_8","uri":"capability://automation.workflow.request.deduplication.with.in.memory.promise.tracking.for.concurrent.calls","name":"request deduplication with in-memory promise tracking for concurrent calls","description":"Implements request deduplication by tracking in-flight API calls using a promise cache keyed by request parameters. When duplicate requests arrive before the first completes, subsequent calls await the same promise instead of making new API calls. Reduces thundering herd problems and API quota waste in high-concurrency scenarios. Automatically clears completed promises to prevent memory leaks.","intents":["Prevent duplicate API calls when multiple concurrent requests ask for same data","Reduce API quota consumption by 20-40% in high-concurrency scenarios","Improve response latency for duplicate requests by reusing in-flight promises","Avoid thundering herd problems when multiple clients request same subreddit/user"],"best_for":["High-concurrency MCP servers handling multiple simultaneous client requests","Applications with bursty traffic patterns where duplicate requests are common","Quota-constrained deployments where API call reduction is critical"],"limitations":["In-memory promise tracking is lost on server restart — no persistence","Deduplication is per-instance only — no distributed deduplication across multiple servers","Promise cache grows unbounded if requests never complete — requires timeout cleanup","Identical requests with different authentication levels are treated as duplicates — may return wrong auth tier data","No cache invalidation mechanism — stale promises may be reused if request parameters match"],"requires":["Concurrent request handling in MCP server","Promise-based API client (native to Node.js)"],"input_types":["API request parameters (subreddit name, post ID, username, etc.)","Request metadata (auth tier, timestamp)"],"output_types":["Deduplicated API responses","Metrics: deduplication rate, promise cache size"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-karanb192-reddit-mcp-buddy__cap_9","uri":"capability://automation.workflow.cli.command.interface.for.local.testing.and.debugging","name":"cli command interface for local testing and debugging","description":"Provides command-line interface (src/cli.ts) for testing individual tools without MCP client. Supports commands like 'search-posts', 'get-comments', 'get-subreddit-posts' with argument parsing and formatted output. Useful for debugging tool implementations, testing authentication, and verifying API responses before integration with Claude Desktop.","intents":["Test individual Reddit tools from command line without MCP client setup","Debug authentication and rate limiting issues","Verify API responses and data formatting before Claude Desktop integration","Manually trigger tools for quick prototyping and exploration"],"best_for":["Developers debugging MCP server implementations","Quick testing during development without Claude Desktop","Troubleshooting authentication and API connectivity issues"],"limitations":["CLI output is text-based — no interactive exploration like Claude Desktop","No persistent history or command recall — each invocation is stateless","Error messages may be verbose and technical — not user-friendly","Limited to single command per invocation — no REPL mode"],"requires":["Node.js 18+","npm or yarn package manager","Reddit API credentials (optional for anonymous mode)"],"input_types":["Command name (string)","Command arguments (subreddit name, post ID, username, etc.)","Optional flags (--sort, --time-filter, --limit)"],"output_types":["Formatted JSON output","Text-based results","Error messages with diagnostic information"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","TypeScript 5.5+ with strict mode enabled","@modelcontextprotocol/sdk package","Claude Desktop 0.1.0+ or compatible MCP client for stdio mode","Reddit account (optional for anonymous mode)","Reddit app credentials (client_id, client_secret) for OAuth2 mode","Environment variables: REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET, REDDIT_USERNAME, REDDIT_PASSWORD (optional)","Docker 20.10+ or Docker Desktop","docker-compose 1.29+ (optional, for multi-container setup)","Environment variables: REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET, etc."],"failure_modes":["Stdio mode requires Claude Desktop or compatible MCP client — no standalone HTTP-only operation","HTTP mode on port 3000 is for testing only, not production-grade","MCP protocol overhead adds ~50-100ms per request due to message serialization","Anonymous mode limited to 10 req/min — insufficient for high-volume analysis","Rate limits are per-instance in-memory — no distributed rate limiting across multiple server instances","OAuth2 flow requires manual credential setup and Reddit app registration","Sliding window algorithm uses wall-clock time, not request timestamps — clock skew can cause limit violations","Docker image size ~500MB due to Node.js runtime and dependencies","In-memory cache is lost on container restart — no persistent storage","Health check endpoint adds ~5-10ms latency per check","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3842293612114892,"quality":0.49,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:34.856Z","last_commit":"2026-03-17T05:48:54Z"},"community":{"stars":636,"forks":81,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-karanb192-reddit-mcp-buddy","compare_url":"https://unfragile.ai/compare?artifact=mcp-karanb192-reddit-mcp-buddy"}},"signature":"Ho4unPAWQBh01DhNtGxwUnVbRIUppCCFKoXLOHgqaTzedz+bOS0aP+y4G5SmNY3VBWuRZomn+cWm9VKtuPjxDA==","signedAt":"2026-06-20T08:36:45.617Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-karanb192-reddit-mcp-buddy","artifact":"https://unfragile.ai/mcp-karanb192-reddit-mcp-buddy","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-karanb192-reddit-mcp-buddy","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}