"Official MCP server that runs locally without an API key or paid plan" matching MCP servers:

Human-in-the-loop approval: a person approves the exact AI action with a passkey, and any service can check the signed approval offline.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Cross-platform MCP server providing Claude Code-style plan mode via four tools (enter_plan_mode, get_plan_mode_standards, todo_write, exit_plan_mode) with soft guidance through SKILL.md.

Enables Tavily and Firecrawl MCP servers to operate with multiple API keys, automatically rotating to backup keys on quota exhaustion, rate limits, or invalid keys, while rewriting API endpoints to the local proxy.

A production-ready template for building monetized MCP servers that require per-call payments via the Mainlayer infrastructure. It provides a structured payment gate that ensures AI agents pay for tool usage before accessing server logic or data.

Enables publishing and unpublishing model-authored HTML plans through a dependency-free MCP server with publish_plan and unpublish_plan tools.

Enables coding agents to export Markdown implementation plans and audits into pixel-perfect PNGs, PDFs, and self-contained HTML files, with code highlighting, Mermaid diagrams, and GitHub callouts preserved.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Enables interaction with MongoDB databases through CRUD operations, aggregation, and schema discovery, with automatic field validation and ObjectId conversion.

Enables work item management in DevOps Plan systems, allowing users to create, retrieve, filter, and delete work items, as well as manage applications, projects, components, and work item types through natural language.

Reference implementation for adding subscription-based gating to MCP endpoints, covering auth, plan entitlements, usage metering, and multi-tenant scoping.

An MCP server for intelligent project planning and task management featuring task tracking, bug reporting, and feature specification with SQLite persistence. It includes full-text search capabilities and automatic filesystem synchronization to keep project data organized and accessible.

Enables users to register a single one-line secret credential (such as a personal access token) that is stored encrypted and scoped to their exact user and persona pair, then let MCP tools retrieve and use that key to call an upstream service. Key names can be listed for status checks, but the secret value itself is only decrypted inside a tool at call time.

MCP server for Cursor IDE offering tools for Human Design chart analysis, partner matching, n8n workflow management, and utility functions like UUID generation and calculation.

Enables coding-plan users to add AI-powered web search and image understanding to MCP clients, returning search results and analyzing images from URLs or local files via text prompts for development workflows.

Enables MCP clients to perform AI-powered web searches and analyze images from URLs or local files, returning structured results and visual insights to assist code development workflows.

An MCP server that generates MCP servers. Give it an API definition - OpenAPI 3.0/3.1 or a Postman collection or extend an existing server - and it scaffolds a complete, runnable, ownable TypeScript or Python MCP server for that collection of APIs.

Stop letting your agent guess at APIs. Ask the code you actually installed. installed-api is a Claude Code plugin (an MCP server, Python standard library only) that answers "what's the signature of X?", "does Y take that argument?" and "which version do we have?" from the packages installed in this project: your .venv, your node_modules.

A sovereign, universal API validation and multi-industry compliance security MCP server.

Enables AI agents to execute HTTP/REST/GraphQL requests against any endpoint, including private VPN hosts and local services, while logging untruncated headers, request bodies, and raw responses into a local SQLite audit history. Agents can then search that history by keyword, date, method, or status, retrieve full details by ID, and export everything to JSON.

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

Enables interaction with Nullplatform's API endpoints for managing deployments, scopes, services, and other cloud resources through natural language using the official OpenAPI specification.

A remote MCP server that lets AI agents generate PDFs from Markdown or HTML, extract text from images and PDFs, validate and screen email addresses, convert or host images, and create QR codes and barcodes. It also exposes account, subscription, and API-discovery tools, with every call running against the same REST quotas tied to the caller's own API key.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

MCP server that enables AI agents to read and write records in a live REST API generated from pasted data, with tools for listing, querying, inserting, updating, and deleting records.

A comprehensive MCP server with RESTful API that enables file operations, command execution, project management, and AI integration for remote development control with security features and real-time communication.

Enables LLMs to make arbitrary HTTP API requests with any method and full control over headers, query parameters, and body.

Per-customer API usage analytics and billing exports for small B2B APIs. Agents can sign up, get ingest snippets and read usage by customer, endpoint and plan.

Provides tools to execute Terraform commands, analyze plan outputs for resource changes, and generate detailed markdown reports. It supports custom environment variables and filtering patterns to streamline infrastructure analysis and management.