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    TrustPilot for APIs, built for AI agents. Independent reliability ratings for APIs and MCP servers — look up trust scores, compare providers side by side, and leave reviews from real agent traffic.
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    CLIRank - API discovery for AI agents. APIs scored on CLI relevance: auth method, JSON responses, headless operation, pricing transparency. Search by capability, compare alternatives, read agent-contributed docs. 6 MCP tools for discovery, comparison, and documentation. Agents contribute observations back - crowdsourced API docs by machines, for machines.
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    MIT
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    Enables MCP clients like Claude Desktop to interact with ANP (Agent Network Protocol) agents through three core tools: authentication setup, document fetching, and OpenRPC method invocation. Converts ANP's crawler-style interaction paradigm into MCP-compatible tools for seamless agent communication.
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    MIT
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    Create Hooks: Create new webhooks or MQTTHOOKS directly from your agent. List Hooks: Retrieve a list of your configured webhooks. Inspect Events: View
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    ISC
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    An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.
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    MIT
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    Enables AI agents to interact with any GraphQL API by introspecting the schema and exposing queries and mutations as MCP tools, with built-in pagination, semantic search, and framework adapters.
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    MIT
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    VCR for MCP servers: a zero-dependency stdio proxy that records and replays MCP JSON-RPC tool calls to local cassette files, enabling deterministic, offline testing of AI agent workflows without side-effects or rate limits.
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    MIT
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    API client with an MCP server. Your agent builds collections from your codebase, runs requests, writes e2e flows, and exports them to GitHub Actions CI automatically. Category: Developer Tools
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    ISC
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    Provides tools for AI assistants to access the Agent Web Protocol (AWP) specification, validate agent.json files, and generate protocol-compliant configurations. It enables developers to integrate the AWP standard into their websites through natural language prompts and automated validation.
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    MIT
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    An MCP server for the Congress.gov API that consolidates 91 operations into 6 comprehensive legislative tools that can be used by any MCP client (i.e. Claude Desktop), or MCP-compatible AI agent, to query and reason about congressional data.
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    MIT
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    Optimizes MCP tool menus from OpenAPI specs by grouping operations by tag and trimming schemas to reduce token usage, improving agent tool-selection accuracy.
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    MIT
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    Agent-native API client for executing REST, GraphQL, WebSocket, SSE, and gRPC requests from MCP-capable agents, with token-efficient responses and file-based collections.
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    This MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.