MCP servers for designing, testing and calling APIs — REST, GraphQL, OpenAPI, webhooks and gateways. Each entry is scanned with the deterministic Capability-Flow Trust Model — grades are computed, never self-reported.
Transport for TMCP using HTTP
MCP Middleware for Hono
MCP utilities
TypeScript SDK for the MCP Registry API — includes types, a ready-to-use client, and deterministic fingerprint computation for enterprise allowlist enforcement.
W3C Web Model Context Protocol (WebMCP) API polyfill. Let AI agents like Claude, ChatGPT, and Gemini interact with your website via document.modelContext.
Model Context Protocol server for Paperclip.
Production-ready library for converting OpenAPI specifications into MCP tool definitions
Google Calendar MCP Server with extensive support for calendar management
Transcend MCP Server — unified server with all domain tools.
Shared infrastructure for Transcend MCP Server packages.
Transcend MCP Server — Consent Management tools.
MCP server for Coolify — 42 optimized tools for infrastructure management, diagnostics, and documentation search
Transcend MCP Server — DSR Automation tools.
Transcend MCP Server — Assessments tools.
Transcend MCP Server — Admin tools.
Transcend MCP Server — Data Inventory tools.
Transcend MCP Server — Data Discovery tools.
Transcend MCP Server — Preference Management tools.
Transcend MCP Server — Workflows tools.
HTTP↔stdio bridge for the FlutterSDK Docs MCP server (mcp.fluttersdk.com)
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
MCP server for Redash integration
MCP server for Redmine
Index of all Model Context Protocol (MCP) clients and their capabilities
An API development MCP server gives an AI assistant hands-on access to your HTTP tooling: clients that fire REST and GraphQL requests, parsers for OpenAPI and Swagger documents, webhook receivers and test tunnels, and the management planes of API gateways. Because the Model Context Protocol turns a plain-language prompt from Claude, Cursor or another LLM client into a live network call, this category pairs unusually high utility with unusually high exposure.
Every listing comes from a deterministic pass of the open-source mcptrustchecker engine over the published npm or PyPI package: it maps the capability "blast radius", records concrete findings with evidence, and assigns an A–F Trust Score — identical input, identical result, no AI in the scoring loop, no paid placement. For API development servers, weigh combinations of network egress plus secret access hardest; that pairing is the classic toxic flow. The full model is documented under how the scoring works.
Browse the complete MCP Trust Registry, compare adjacent categories like Analytics & Monitoring and Content Management, or run any package through the free scan API before you install it.
Yes, if it is over-permissioned or carelessly built: anything that reads environment variables or request headers and also has network egress can move secrets somewhere you never intended. Prefer short-lived, least-privilege credentials, keep production write access behind human review, and check a server's Trust Score and individual security findings before installing. Treat the score as an automated opinion on the published code, not a certification.