{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-esaio-esa-mcp-server","slug":"esaio-esa-mcp-server","name":"@esaio/esa-mcp-server","type":"mcp","url":"https://github.com/esaio/esa-mcp-server#readme","page_url":"https://unfragile.ai/esaio-esa-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","esa","esa.io","documentation","knowledge-base"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-esaio-esa-mcp-server__cap_0","uri":"capability://tool.use.integration.esa.io.knowledge.base.integration.via.mcp","name":"esa.io knowledge base integration via mcp","description":"Exposes esa.io documentation and knowledge base content as MCP resources through a standardized protocol, enabling LLM clients to query and retrieve team documentation without direct API calls. Implements the Model Context Protocol (MCP) STDIO transport to establish bidirectional communication between the MCP server and compatible clients (Claude, LLM agents, IDEs), translating esa.io API responses into MCP resource representations with metadata.","intents":["I want my AI assistant to access our team's esa.io documentation without needing separate API credentials","I need to build an LLM agent that can search and retrieve knowledge base articles from esa.io","I want to integrate esa.io content into Claude or another MCP-compatible client for context-aware responses"],"best_for":["teams using esa.io for documentation and wanting AI-native access","LLM agent builders needing standardized knowledge base integration","developers building Claude plugins or MCP-compatible applications"],"limitations":["STDIO transport only — no HTTP/WebSocket alternatives, limiting deployment to local or container environments","Requires esa.io API credentials (access token) — cannot work without valid authentication","No built-in caching or persistence layer — each query hits the esa.io API, potentially rate-limited","MCP protocol version compatibility depends on client implementation — older clients may not support all resource types"],"requires":["Node.js 16+ (typical for npm packages)","esa.io account with API access token","MCP-compatible client (Claude, custom LLM agent, or IDE with MCP support)","npm or yarn for package installation"],"input_types":["MCP resource requests (text queries, resource URIs)","esa.io API credentials (access token)"],"output_types":["MCP resources (structured JSON with content, metadata, URIs)","text (documentation content from esa.io)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_1","uri":"capability://search.retrieval.mcp.resource.discovery.and.enumeration","name":"mcp resource discovery and enumeration","description":"Implements MCP resource listing and metadata endpoints that allow clients to discover available esa.io documents, teams, and categories without prior knowledge of the knowledge base structure. The server maintains a resource registry that maps esa.io content hierarchy (teams, categories, documents) to MCP resource URIs, enabling clients to browse and enumerate available content through standard MCP list operations.","intents":["I want to see what documentation is available in our esa.io workspace from within my AI client","I need to programmatically discover all documents in a specific esa.io category","I want to build a UI that shows available esa.io resources that an LLM can access"],"best_for":["developers building MCP clients that need content discovery","teams wanting to expose their esa.io structure to AI agents","builders creating knowledge base browsers or documentation explorers"],"limitations":["Discovery performance depends on esa.io API response times — large knowledge bases may have slow enumeration","No pagination support documented — may struggle with workspaces containing thousands of documents","Resource URIs are static snapshots — changes to esa.io structure require server restart or cache invalidation","No filtering or search at the resource discovery level — clients must enumerate all resources then filter"],"requires":["esa.io API token with read permissions","MCP client supporting resource list operations","Network connectivity to esa.io API"],"input_types":["MCP list requests (optional filters for resource type)"],"output_types":["MCP resource list (JSON array with URIs, names, MIME types, descriptions)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_2","uri":"capability://memory.knowledge.esa.io.document.content.retrieval.with.metadata","name":"esa.io document content retrieval with metadata","description":"Fetches full document content from esa.io via MCP read operations, returning both the rendered markdown/HTML content and structured metadata (author, created date, updated date, tags, category). The server translates esa.io API document objects into MCP text resources with embedded metadata headers, preserving document context for LLM processing while maintaining source attribution.","intents":["I want Claude to read a specific esa.io document and answer questions about it","I need to retrieve a document's full content including metadata for context in my LLM prompt","I want to know when a document was last updated and who authored it while reading it in my AI client"],"best_for":["LLM agents needing full document context for question-answering","teams building documentation-aware AI assistants","developers creating knowledge base search and retrieval systems"],"limitations":["Content format depends on esa.io export format — may include HTML/Markdown inconsistencies","Large documents (>100KB) may exceed MCP message size limits or LLM context windows","No incremental/streaming retrieval — entire document must be fetched and transmitted","Metadata is read-only — cannot update document properties through this capability","No support for document versions or revision history — always returns latest version"],"requires":["esa.io API token with document read access","Valid MCP resource URI pointing to an esa.io document","MCP client supporting text resource read operations"],"input_types":["MCP resource URI (esa.io document identifier)"],"output_types":["text (markdown/HTML document content)","structured metadata (JSON with author, dates, tags, category)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_3","uri":"capability://tool.use.integration.stdio.based.mcp.transport.for.local.execution","name":"stdio-based mcp transport for local execution","description":"Implements the Model Context Protocol using STDIO (standard input/output) transport, enabling the server to run as a subprocess managed by MCP clients like Claude Desktop or local LLM agents. The server reads JSON-RPC messages from stdin and writes responses to stdout, with no network binding required, making it suitable for local-only deployments, containerized environments, and tight client-server integration without HTTP overhead.","intents":["I want to run the esa.io MCP server locally as a Claude Desktop plugin","I need to integrate esa.io access into a local LLM agent without exposing an HTTP endpoint","I want to containerize the esa.io MCP server for deployment in a sandboxed environment"],"best_for":["Claude Desktop users wanting local esa.io integration","developers building containerized LLM agent stacks","teams with security requirements preventing external API exposure"],"limitations":["STDIO transport only — no HTTP/WebSocket alternatives for remote access","Single client connection per server instance — no multiplexing or load balancing","Subprocess management overhead — client must handle process lifecycle (spawn, kill, restart)","No built-in logging to external systems — debugging requires capturing stderr","Platform-specific process management — Windows, macOS, Linux have different subprocess APIs"],"requires":["Node.js runtime on the client machine","MCP client capable of spawning subprocesses (Claude Desktop, custom agent)","File system access to run the server binary/script","Environment variables for esa.io API credentials"],"input_types":["JSON-RPC 2.0 messages on stdin (MCP protocol requests)"],"output_types":["JSON-RPC 2.0 messages on stdout (MCP protocol responses)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_4","uri":"capability://safety.moderation.esa.io.api.credential.management.and.authentication","name":"esa.io api credential management and authentication","description":"Handles secure storage and injection of esa.io API credentials (access tokens) into outbound API requests, supporting environment variable configuration for credential isolation. The server validates credentials on startup and maintains authenticated sessions with the esa.io API, transparently handling token refresh or re-authentication if required by the esa.io API contract.","intents":["I want to securely pass my esa.io API token to the MCP server without hardcoding it","I need the server to authenticate with esa.io and handle credential lifecycle automatically","I want to rotate my esa.io API token without restarting the server"],"best_for":["teams deploying MCP servers in production or containerized environments","developers following security best practices for credential management","organizations with credential rotation policies"],"limitations":["Credentials must be provided via environment variables — no interactive credential entry","No built-in credential rotation — token refresh requires manual environment variable update and server restart","Credentials are loaded at startup — invalid tokens are not detected until first API call","No audit logging of credential usage — cannot track which requests used which credentials","Token expiration handling depends on esa.io API behavior — server may not gracefully handle expired tokens"],"requires":["esa.io API access token (obtained from esa.io account settings)","Environment variable configuration (ESA_API_TOKEN or similar)","Valid esa.io workspace/team access"],"input_types":["environment variables (ESA_API_TOKEN or equivalent)"],"output_types":["authenticated HTTP headers injected into esa.io API requests"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_5","uri":"capability://safety.moderation.mcp.protocol.error.handling.and.response.formatting","name":"mcp protocol error handling and response formatting","description":"Implements comprehensive error handling for MCP protocol violations, esa.io API failures, and network errors, translating them into properly formatted MCP error responses with descriptive messages. The server validates incoming MCP requests, handles malformed JSON-RPC messages, and provides structured error responses that allow clients to distinguish between protocol errors, authentication failures, and transient API issues.","intents":["I want my MCP client to receive clear error messages when esa.io API calls fail","I need to distinguish between MCP protocol errors and esa.io service unavailability","I want the server to gracefully handle malformed requests without crashing"],"best_for":["developers building robust MCP clients","teams deploying MCP servers in production","builders needing reliable error recovery in LLM agent workflows"],"limitations":["Error messages are limited by MCP protocol specification — may not convey full esa.io API error details","No retry logic built-in — clients must implement their own exponential backoff for transient failures","Error categorization depends on esa.io API response codes — inconsistent error formats may be passed through","No structured error codes beyond MCP standard — clients cannot programmatically distinguish between specific esa.io failures","Timeout handling is implicit — no explicit timeout configuration for esa.io API calls"],"requires":["MCP client capable of parsing error responses","Network connectivity to esa.io API (for detecting API failures)"],"input_types":["malformed JSON-RPC messages, invalid MCP requests, esa.io API error responses"],"output_types":["MCP error responses (JSON-RPC error objects with code, message, data)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-esaio-esa-mcp-server__cap_6","uri":"capability://memory.knowledge.esa.io.workspace.and.team.context.isolation","name":"esa.io workspace and team context isolation","description":"Supports multi-workspace or multi-team esa.io configurations by isolating resource access based on API token scope, ensuring that a single MCP server instance can serve content from a specific esa.io workspace without cross-contamination. The server maps esa.io team/workspace identifiers to MCP resource URIs, enabling clients to query team-specific documentation while maintaining logical separation between different esa.io workspaces.","intents":["I want to run one MCP server instance that accesses my team's esa.io workspace","I need to ensure that my MCP server only exposes documentation from my specific esa.io team","I want to build an LLM agent that understands team-specific documentation context"],"best_for":["teams with single esa.io workspace wanting dedicated MCP integration","organizations with team-specific documentation requirements","developers building team-aware LLM agents"],"limitations":["Single workspace per server instance — multi-workspace access requires multiple server instances","Workspace context is determined by API token scope — cannot dynamically switch workspaces","No workspace enumeration capability — clients cannot discover available workspaces","Team/workspace metadata is not exposed in MCP resources — clients cannot programmatically identify workspace boundaries","No cross-workspace search or aggregation — each workspace requires separate server instance"],"requires":["esa.io API token scoped to a specific workspace/team","Knowledge of workspace identifier (typically embedded in API token scope)"],"input_types":["esa.io API token (implicitly scoped to workspace)"],"output_types":["MCP resources filtered to workspace scope"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (typical for npm packages)","esa.io account with API access token","MCP-compatible client (Claude, custom LLM agent, or IDE with MCP support)","npm or yarn for package installation","esa.io API token with read permissions","MCP client supporting resource list operations","Network connectivity to esa.io API","esa.io API token with document read access","Valid MCP resource URI pointing to an esa.io document","MCP client supporting text resource read operations"],"failure_modes":["STDIO transport only — no HTTP/WebSocket alternatives, limiting deployment to local or container environments","Requires esa.io API credentials (access token) — cannot work without valid authentication","No built-in caching or persistence layer — each query hits the esa.io API, potentially rate-limited","MCP protocol version compatibility depends on client implementation — older clients may not support all resource types","Discovery performance depends on esa.io API response times — large knowledge bases may have slow enumeration","No pagination support documented — may struggle with workspaces containing thousands of documents","Resource URIs are static snapshots — changes to esa.io structure require server restart or cache invalidation","No filtering or search at the resource discovery level — clients must enumerate all resources then filter","Content format depends on esa.io export format — may include HTML/Markdown inconsistencies","Large documents (>100KB) may exceed MCP message size limits or LLM context windows","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.40618467992544377,"quality":0.24,"ecosystem":0.5800000000000001,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":5369,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=esaio-esa-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=esaio-esa-mcp-server"}},"signature":"4Adiu+F8DNl5sOjlrQjByA1O/xO4X/9VnD1+8QLkPu55GVz3u5uNtINDARGQnaipqN0jjNR9Cq3mD2bg/B3ODQ==","signedAt":"2026-06-21T10:17:40.065Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/esaio-esa-mcp-server","artifact":"https://unfragile.ai/esaio-esa-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=esaio-esa-mcp-server","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"}}