"Automating HTTP API Wrapping into MCPT Tool" matching MCP servers:

This server enables aspiring Google Summer of Code contributors to discover and evaluate mentoring organizations and repositories, find available beginner issues, check claimability, get personalized recommendations, prepare proposals, and track progress using grounded GSoC and GitHub data. It also surfaces official program guidance, anti-spam rules, and GitHub API rate-limit status.

Wraps bare-IP HTTP REST APIs as MCP tools, supporting dynamic IP switching and stdio/SSE modes for use in AI IDEs.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.

Demo MCP server that exposes order and customer data as read-only tools for AI assistants, simulating a business API or internal data source.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Stateful interactive HTTP REPL and Agentic MCP engine for API navigation and testing.

An MCP server that provides HTTP client capabilities with support for full HTTP methods, custom headers, query parameters, request bodies, and configurable timeouts.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.

Enables clients to interact with a spec-shaped Model Context Protocol endpoint over Streamable HTTP, supporting initialization, session handling, tool listing and calls, plus ping, with origin validation and protocol version enforcement.

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

Provides HTTP client capabilities to AI agents with 9 tools for REST API testing, including GET, POST, PUT, PATCH, DELETE, batch requests, and URL health checks, using pure Python stdlib.

Enables interaction with Plaid's financial data API to sync bank transactions and retrieve account balances with secure encrypted token storage.

Enables assistants to retrieve the current time and convert times between time zones through callable MCP tools over streamable HTTP.

Enables MCP clients to connect to a streamable HTTP server with multiple tools, secured by API key authentication, rate limiting, and health checks via an nginx gateway for Docker-based deployment.

A step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.

An MCP server that provides utility tools for text analysis, URL metadata fetching, and temperature conversion.

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Enables agents to submit request/response header literals over stdio and receive deterministic, specification-derived verdicts on CORS, RFC 9111 cache freshness, RFC 9110 conditional requests, and Vary matching, complete with rule IDs and clause references. Runs entirely offline with no third-party runtime dependencies, returning byte-identical output for identical input.

Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.

Enables interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

Enables LLM agents and clients to discover and invoke tools — echo, add, sqrt, and now_utc — over a newline-delimited JSON-RPC 2.0 stdio transport, with protocol handshakes, tool schemas, and in-band tool errors handled per the Model Context Protocol spec. It also includes a demo client for driving the server.

MCP server that builds itself by creating new tools as needed based on user requests (Requires restart of Claude Desktop to use newly created tools).

Enables AI assistants and MCP clients to search Pyaterochka stores, browse categories, find products with filters for price, brand, and promotions, and retrieve product details, store hours, and promotion conditions through the exposed MCP tools.

MCP server for interacting with GitLab API, supporting dynamic tool selection and enterprise-grade security.

Enables authorized, bounded CAPTCHA solving alongside Obscura browser sessions, with session binding, attempt limits, and human review fallback.

Turn any API into an MCP server. Query in English. Get results—even when the API can't.

Enables AI assistants to read, search, draft, and send email with attachments over IMAP/SMTP, keeping passwords in the OS keyring and gating outgoing mail on user approval for CMMC Level 2 environments.

Enables centralized proxy and orchestration of MCP servers, providing unified tool discovery, authentication, and secure request routing. It adds a human-in-the-loop approval gate for high-risk actions and audit logging.

An MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.

Enables a connected frontier-model assistant to develop research grant proposals with traceable evidence, claim review, and versioned drafts. It preserves source passages, judgments, proposal versions, and editable exports in a local research workspace.

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

Enables agents to send only the handful of tool definitions relevant to each question, ranking a large catalog by keywords and optional embeddings to cut context cost and wrong-tool picks. It can also run in front of any mcpServers config as a proxy that exposes just search_tools and call_tool instead of the whole catalog.

Enables AI agents to programmatically build, analyze, and export 3D CAD geometry using FreeCAD through REST or MCP tools.

Enables locally configured MCP servers to be called over stdio and mixed with xAI server-side tools, without relying on hosted xAI MCP.

Provides a minimal production-ready template for implementing JSON-RPC 2.0 MCP endpoints that support initialization, dynamic tool discovery, and tool execution over HTTP.

A secure tool-execution plane for agentic AI that enforces JWT authentication, rate limiting, prompt-injection inspection, and audit logging, while ingesting downstream OpenAPI endpoints as MCP tools.