"Agent File Control MCP Server" matching MCP servers:

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

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.

用于读取Knife4j/Swagger多模块接口文档，为Agent提供结构化接口查询能力的MCP服务器。

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

Enables AI assistants to explore and interact with the Facets Control Plane API via natural language, supporting operations like searching endpoints, loading schemas, and making authenticated API calls.

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.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables testing and validation of APIs for AI agent compatibility, providing scores, grades, and actionable recommendations.

A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through natural language.

Enables AI agents to send HTTP requests to any endpoint with full control over methods, headers, query parameters, and request bodies.

Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.

Enables agents to verify real-world assertions like content being posted or PRs merged by fetching live evidence from URLs and GitHub, returning a verified boolean plus raw evidence.

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.

MCP server for scanning smart contracts for security vulnerabilities. It detects issues like reentrancy, overflow, access control, and provides security scores with NEAR-specific recommendations.

AI-native HTTP security testing MCP server — 18 tools with raw HTTP/1.1 + HTTP/2 control

Create Hooks: Create new webhooks or MQTTHOOKS directly from your agent. List Hooks: Retrieve a list of your configured webhooks. Inspect Events: View

Connects Claude with Spotify, allowing users to control playback, search for music, get track/artist information, and manage the queue via the Spotify API.

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.

A Model Context Protocol server that enables AI agents to interact with Twitter without direct API access, supporting tweet operations, user interactions, and Grok AI integration.

A comprehensive HTTP/HTTPS tool server using curl, supporting various authentication methods, file uploads, downloads, and custom curl commands.

A server that provides both comprehensive API documentation and direct robot control capabilities for Opentrons Flex and OT-2 robots, enabling users to manage protocols, control runs, and monitor robot health through natural language.

Turns a Postman collection into a set of MCP tools served over stdio, so an AI agent can invoke the underlying HTTP API with resolved variables, inherited auth, and per-tool safety hints. It also lints the collection for agent-readiness and can spawn the server to verify read-only calls actually succeed.

Enables AI coding agents to list, inspect, triage, and bulk-update security findings and issue groups from Sourcery's public security API, with aggregate counts, cursor pagination, and generated minimal-change fix prompts. It exposes 12 tools wired to a pinned OpenAPI snapshot, running over stdio or Streamable HTTP.

MCP server endpoint for agent integration

A microservice control plane server that integrates with Windsurf IDE by fetching API information from Eolink OpenAPI and exposing it as MCP resources, enabling seamless API integration and management in the development environment.

Exposes the complete Zabbix API functionality through the Model Context Protocol, mapping API methods to tools for managing hosts, triggers, and monitoring data. It enables seamless integration and control of Zabbix monitoring environments via natural language interfaces.

A microservice control plane server that fetches API information from Feishu OpenAPI and provides it to Windsurf IDE, enabling seamless API integration and management within your development environment.

Enables agents to discover and route tasks to public MCP tools, check live reliability, find working alternatives, audit server agent-readiness, and scan tool definitions for poisoning.

A Model Context Protocol server that connects to the Tesla Fleet API, allowing AI assistants like Claude to control Tesla vehicles and access vehicle information through natural language commands.

Enables MCP-compatible clients to execute Playwright-based UI and API test suites (login, inventory, checkout, API, regression) and receive structured JSON test results.