{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-langfuse-prompt-management","slug":"langfuse-prompt-management","name":"Langfuse Prompt Management","type":"mcp","url":"https://github.com/langfuse/mcp-server-langfuse","page_url":"https://unfragile.ai/langfuse-prompt-management","categories":["mcp-servers","observability"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-langfuse-prompt-management__cap_0","uri":"capability://tool.use.integration.mcp.compliant.prompt.discovery.and.listing.with.pagination","name":"mcp-compliant prompt discovery and listing with pagination","description":"Exposes Langfuse's centralized prompt repository through the Model Context Protocol's Prompts specification, implementing the prompts/list endpoint with pagination support. The server translates Langfuse's REST API responses into MCP's JSON-RPC message format, filtering prompts by production label and returning metadata (name, description, version) for client-side discovery. Uses stdio transport with JSON-RPC 2.0 for bidirectional communication with MCP clients like Claude Desktop and Cursor IDE.","intents":["Discover all available prompts stored in Langfuse without leaving my IDE or AI client","Browse prompt versions and metadata to understand what prompts are available for my application","Paginate through large prompt repositories to find the right prompt for my use case"],"best_for":["Teams using Langfuse for centralized prompt management who want IDE-native prompt discovery","Developers building LLM applications in Claude Desktop or Cursor IDE","Organizations standardizing on MCP for tool integration"],"limitations":["Pagination is server-side only — clients cannot request arbitrary page numbers, only iterate sequentially","No full-text search or filtering by prompt name/description — only production label filtering is supported","Requires active network connection to Langfuse API; no local caching of prompt metadata"],"requires":["Node.js 18+","Langfuse API key (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY)","MCP-compatible client (Claude Desktop, Cursor IDE, or other MCP consumer)","Network access to Langfuse API endpoint"],"input_types":["MCP JSON-RPC request with optional pagination cursor"],"output_types":["JSON array of prompt objects with name, description, version, and metadata"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_1","uri":"capability://text.generation.language.prompt.retrieval.with.variable.extraction.and.template.compilation","name":"prompt retrieval with variable extraction and template compilation","description":"Retrieves a specific prompt from Langfuse by name and compiles it with user-provided variables, handling both text and chat prompt types. The server extracts template variables from Langfuse's prompt structure (using pattern matching or AST-like parsing), validates that all required variables are provided, and returns a fully compiled prompt ready for LLM inference. Supports Langfuse's native prompt types (text prompts and chat message arrays) and transforms them into MCP's standardized message format for consumption by MCP clients.","intents":["Retrieve a specific prompt from Langfuse and inject my runtime variables into it","Get a compiled, ready-to-use prompt without manually managing versions or variable substitution","Use chat-based prompts with system/user/assistant message roles in my LLM application"],"best_for":["Developers building LLM agents that need dynamic prompt injection from a centralized repository","Teams managing multiple prompt versions and wanting to use production-labeled prompts in applications","Applications requiring chat-based prompts with structured message roles"],"limitations":["Variable extraction is static — does not support conditional logic or nested variable references within prompts","Only supports Langfuse's text and chat prompt types; custom prompt types are not handled","No caching of compiled prompts — each retrieval triggers a fresh Langfuse API call and compilation","Variable validation is basic — does not type-check or validate variable values beyond presence"],"requires":["Node.js 18+","Langfuse API key (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY)","Prompt name must exist in Langfuse and be labeled as 'production'","All required variables must be provided in the request"],"input_types":["JSON object with prompt name and variable key-value pairs"],"output_types":["Compiled prompt text (for text prompts) or structured message array (for chat prompts) with variables substituted"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_2","uri":"capability://tool.use.integration.dual.interface.protocol.translation.mcp.prompts.mcp.tools","name":"dual interface protocol translation (mcp prompts + mcp tools)","description":"Provides two complementary interfaces to the same underlying Langfuse prompt repository: the MCP Prompts specification (primary, standards-based) and MCP Tools (compatibility fallback). The server implements both prompts/list and prompts/get endpoints alongside get-prompts and get-prompt tools, allowing clients with different MCP capability support to access the same prompt data. This dual interface pattern is handled at the request routing layer, where incoming JSON-RPC requests are dispatched to the appropriate handler based on the method name.","intents":["Use Langfuse prompts in MCP clients that only support the Tools interface, not the Prompts specification","Ensure maximum compatibility across different MCP client implementations and versions","Migrate from Tools-based prompt access to the standardized Prompts specification without breaking existing integrations"],"best_for":["Organizations with heterogeneous MCP client deployments (mix of Claude Desktop versions, Cursor, custom clients)","Teams needing backward compatibility during MCP specification adoption","Developers building MCP clients that may not yet support the Prompts specification"],"limitations":["Dual interface adds code duplication and maintenance burden — changes to prompt logic must be synchronized across both interfaces","Tools interface is less efficient than Prompts specification (tools require explicit invocation vs. native prompt discovery)","No automatic fallback or negotiation — clients must explicitly request either Prompts or Tools interface"],"requires":["Node.js 18+","MCP-compatible client with support for either Prompts specification or Tools API","Langfuse API key"],"input_types":["MCP JSON-RPC requests using either prompts/* methods or tool invocation syntax"],"output_types":["Identical prompt data in either MCP Prompts format or MCP Tools format depending on request type"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_3","uri":"capability://safety.moderation.production.label.filtering.for.prompt.safety.and.versioning","name":"production label filtering for prompt safety and versioning","description":"Automatically filters Langfuse prompts to expose only those labeled as 'production', preventing clients from accidentally using draft, experimental, or outdated prompt versions. This filtering is applied at the listing and retrieval layers — the prompts/list endpoint only returns production-labeled prompts, and prompts/get will reject requests for non-production prompts. The filtering logic is implemented in the request handlers and uses Langfuse's native label metadata to determine eligibility, ensuring that only vetted, released prompts are accessible through the MCP interface.","intents":["Ensure my LLM application only uses production-ready prompts, not drafts or experiments","Prevent accidental exposure of internal or unreleased prompt versions through the MCP interface","Maintain a clear separation between prompt development (in Langfuse UI) and production deployment (via MCP)"],"best_for":["Production LLM applications requiring strict version control and release management","Teams with multiple prompt engineers where draft prompts should not be exposed to applications","Organizations with compliance or audit requirements for prompt versioning"],"limitations":["Only supports binary production/non-production filtering — no custom label support or multi-label filtering","Filtering is server-side only; clients cannot override or request non-production prompts even if they have Langfuse access","No audit logging of which prompts were filtered or why — filtering is silent"],"requires":["Prompts in Langfuse must be explicitly labeled as 'production' to be accessible via MCP","Langfuse API key with read access to prompt labels"],"input_types":["Prompt metadata from Langfuse API including label information"],"output_types":["Filtered list of production-labeled prompts only"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_4","uri":"capability://tool.use.integration.stdio.based.json.rpc.2.0.transport.for.mcp.communication","name":"stdio-based json-rpc 2.0 transport for mcp communication","description":"Implements the Model Context Protocol's stdio transport layer, communicating with MCP clients via standard input/output using JSON-RPC 2.0 message format. The server runs as a Node.js process that reads JSON-RPC requests from stdin, processes them through the appropriate handler (prompts/list, prompts/get, or tools), and writes JSON-RPC responses to stdout. This transport mechanism is language-agnostic and allows the MCP server to be spawned by any client that supports stdio-based process communication, including Claude Desktop, Cursor IDE, and custom MCP consumers.","intents":["Integrate Langfuse prompts into MCP clients that communicate via stdio and JSON-RPC","Run the Langfuse MCP server as a subprocess managed by an MCP client","Enable bidirectional JSON-RPC communication between the server and MCP clients"],"best_for":["MCP client implementations using stdio transport (Claude Desktop, Cursor IDE)","Developers building custom MCP clients that need to spawn and communicate with MCP servers","Teams deploying MCP servers in containerized or serverless environments where stdio is the primary IPC mechanism"],"limitations":["Stdio transport is synchronous and single-threaded — cannot handle concurrent requests from multiple clients","No built-in connection pooling or multiplexing — each client must spawn its own server instance","Message ordering is guaranteed but there is no explicit flow control or backpressure handling","Debugging stdio-based communication requires log redirection or specialized tools; standard debugging is limited"],"requires":["Node.js 18+","MCP client that supports stdio transport and JSON-RPC 2.0","Process spawning capability in the client environment"],"input_types":["JSON-RPC 2.0 request objects sent via stdin"],"output_types":["JSON-RPC 2.0 response objects written to stdout"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_5","uri":"capability://tool.use.integration.langfuse.api.authentication.and.credential.management","name":"langfuse api authentication and credential management","description":"Manages authentication to the Langfuse API using environment variables (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY) and constructs authenticated HTTP requests to Langfuse's REST endpoints. The server reads credentials from the environment at startup, validates their presence, and includes them in all outbound API calls to Langfuse. This credential management is centralized in the server initialization, eliminating the need for clients to handle Langfuse authentication directly and allowing the MCP server to act as a trusted intermediary between MCP clients and Langfuse.","intents":["Authenticate to Langfuse once at server startup rather than requiring each client to manage credentials","Securely pass Langfuse credentials through environment variables without exposing them in client code","Ensure all API calls to Langfuse are properly authenticated and authorized"],"best_for":["Teams deploying MCP servers in shared or multi-tenant environments where credential isolation is important","Organizations using Langfuse with API key-based authentication","Developers who want to avoid embedding Langfuse credentials in client applications"],"limitations":["Credentials are read from environment variables only — no support for credential files, vaults, or dynamic credential rotation","No credential validation or expiration checking — invalid or expired credentials will only be detected on first API call","Credentials are stored in memory for the lifetime of the server process — no secure erasure or cleanup","Single credential set per server instance — no support for multi-tenant scenarios with different Langfuse accounts"],"requires":["LANGFUSE_SECRET_KEY environment variable set to a valid Langfuse API secret","LANGFUSE_PUBLIC_KEY environment variable set to a valid Langfuse API public key","Network access to Langfuse API endpoint"],"input_types":["Environment variables at server startup"],"output_types":["Authenticated HTTP headers for Langfuse API requests"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_6","uri":"capability://text.generation.language.chat.and.text.prompt.type.handling.with.message.role.mapping","name":"chat and text prompt type handling with message role mapping","description":"Handles two distinct Langfuse prompt types (text prompts and chat prompts) and transforms them into MCP's standardized message format. Text prompts are returned as plain strings, while chat prompts are parsed as arrays of messages with roles (system, user, assistant) and compiled with variable substitution. The server detects the prompt type from Langfuse's metadata and applies the appropriate transformation logic, ensuring that both prompt types are accessible through the same MCP interface. Chat prompts are particularly important for multi-turn conversations and role-based message construction in LLM applications.","intents":["Use text-based prompts (simple string templates) for single-turn LLM calls","Use chat-based prompts with structured message roles for multi-turn conversations","Automatically transform Langfuse's native prompt types into MCP's standardized message format"],"best_for":["Applications using both simple text prompts and complex multi-turn chat prompts","Teams managing diverse prompt types in Langfuse and needing unified access through MCP","Developers building conversational AI systems that require structured message roles"],"limitations":["Only supports Langfuse's native text and chat types — custom prompt types or domain-specific formats are not handled","Chat prompt message roles are limited to system, user, and assistant — no support for custom roles","Variable substitution in chat prompts is applied uniformly across all message types — no role-specific variable handling","No validation of chat message structure — malformed messages in Langfuse will propagate to clients"],"requires":["Prompts in Langfuse must be of type 'text' or 'chat'","Chat prompts must have valid message structure with role and content fields"],"input_types":["Langfuse prompt objects with type field and content (text or chat array)"],"output_types":["String (for text prompts) or array of message objects with role and content (for chat prompts)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-langfuse-prompt-management__cap_7","uri":"capability://tool.use.integration.langfuse.api.endpoint.integration.with.configurable.base.url","name":"langfuse api endpoint integration with configurable base url","description":"Integrates with Langfuse's REST API by constructing HTTP requests to Langfuse endpoints (typically /api/prompt endpoints for listing and retrieving prompts). The server uses a configurable base URL (defaulting to Langfuse's hosted API but supporting self-hosted instances) and constructs authenticated requests with proper headers and query parameters. This integration layer abstracts away the details of Langfuse's API structure, allowing the MCP server to act as a transparent proxy that translates MCP requests into Langfuse API calls and transforms responses back into MCP format.","intents":["Connect to Langfuse's API to retrieve prompts without clients needing to know Langfuse's API structure","Support both Langfuse's hosted API and self-hosted instances by configuring the base URL","Translate MCP requests into properly formatted Langfuse API calls with authentication"],"best_for":["Organizations using Langfuse (hosted or self-hosted) for centralized prompt management","Teams deploying MCP servers that need to integrate with Langfuse without exposing API details to clients","Developers building Langfuse-based prompt systems that want MCP compatibility"],"limitations":["Only supports Langfuse's /api/prompt endpoints — other Langfuse API endpoints (traces, evaluations, etc.) are not exposed","No caching of API responses — each MCP request triggers a fresh Langfuse API call, adding latency","Error handling is basic — Langfuse API errors are passed through without transformation or retry logic","No support for Langfuse API pagination beyond the server's internal pagination implementation"],"requires":["Network access to Langfuse API endpoint (hosted or self-hosted)","Valid Langfuse API credentials (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY)","Langfuse API endpoint URL (configurable, defaults to hosted API)"],"input_types":["MCP requests with prompt names and variables"],"output_types":["Langfuse API responses transformed into MCP format"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","Langfuse API key (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY)","MCP-compatible client (Claude Desktop, Cursor IDE, or other MCP consumer)","Network access to Langfuse API endpoint","Prompt name must exist in Langfuse and be labeled as 'production'","All required variables must be provided in the request","MCP-compatible client with support for either Prompts specification or Tools API","Langfuse API key","Prompts in Langfuse must be explicitly labeled as 'production' to be accessible via MCP","Langfuse API key with read access to prompt labels"],"failure_modes":["Pagination is server-side only — clients cannot request arbitrary page numbers, only iterate sequentially","No full-text search or filtering by prompt name/description — only production label filtering is supported","Requires active network connection to Langfuse API; no local caching of prompt metadata","Variable extraction is static — does not support conditional logic or nested variable references within prompts","Only supports Langfuse's text and chat prompt types; custom prompt types are not handled","No caching of compiled prompts — each retrieval triggers a fresh Langfuse API call and compilation","Variable validation is basic — does not type-check or validate variable values beyond presence","Dual interface adds code duplication and maintenance burden — changes to prompt logic must be synchronized across both interfaces","Tools interface is less efficient than Prompts specification (tools require explicit invocation vs. native prompt discovery)","No automatic fallback or negotiation — clients must explicitly request either Prompts or Tools interface","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=langfuse-prompt-management","compare_url":"https://unfragile.ai/compare?artifact=langfuse-prompt-management"}},"signature":"4JMPO/1EOPpemEyPSQVuJKqDICUrxiwGkzk0QsT12N5b7GnebtTw8UUJcrS96bkmtrB5hm+APd2tX5YtvFisDA==","signedAt":"2026-06-19T16:22:42.807Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/langfuse-prompt-management","artifact":"https://unfragile.ai/langfuse-prompt-management","verify":"https://unfragile.ai/api/v1/verify?slug=langfuse-prompt-management","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"}}