"Using ast-grep to Modify Code Programmatically" matching MCP servers:

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables whole-program callgraph reachability analysis to locate dead functions and stale flags, and prune unreachable AST branches. It integrates with MCP-compliant clients for deterministic, zero-dependency code review and semantic analysis.

Enables autonomous agents to parse markdown documents into structured AST nodes—including headings, lists, tables, callouts, and code blocks—and serialize modified AST back into clean canonical markdown via MCP tools.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

Enables autonomous agents to parse markdown into structured AST nodes and compile modified ASTs back into clean canonical markdown, including headings, lists, tables, and code blocks.

Generates standalone, human-readable MCP servers from RAML 1.0 or OpenAPI 3.x specs, exposing one tool per resource and method that makes real HTTP calls. It understands Mule/Anypoint auth patterns such as Client ID enforcement and OAuth2, wiring the expected credentials from environment variables at call time.

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

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

Enables deterministic, AST-based rewriting of Python imports and callsites, so module paths can be re-aliased and migrated across a codebase without regex errors. It also supports dependency graph auditing and refactoring planning with token-efficient output for coding agents.

An MCP server that turns a one-sentence idea into working, tested code using a pipeline of six AI agents, with optional deployment.

MCP server that provides AI coding assistants with access to call graphs, data flows, and security analysis for multi-file vulnerability detection.

An MCP server that exposes glob, grep, and list_repos tools over a folder containing multiple git repositories, allowing clients to search across repos by name without local filesystem access.

Enables converting Markdown text into clean HTML for headings, lists, code blocks, tables, links, and images, with optional full-document wrapping via x402 micropayments.

Generates fullstack UI component AST patches with Tailwind tokens, enabling AI agents to produce structured UI patch outputs for frameworks like v0 and Lovable.

Enables converting a direct HTTPS document link into an editable slide deck while keeping charts, images, and shapes as background visuals, with job tracking and file download.

Turns any OpenAPI/Swagger specification into a functional MCP server, dynamically exposing API endpoints as LLM tools or generating standalone Python code.

Enables AI agents to find public GitHub repositories matching plain-language project descriptions, filter low-quality results by ranking, and fetch a repository's README.

Enables coding agents and MCP-compatible clients to parse multi-file AST dependency graphs and extract minimum context through symbol call-tree slicing. It provides deterministic, zero-dependency execution over JSON-RPC stdio.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Converts any REST API endpoints into MCP tools, enabling AI clients like Cursor and Claude Desktop to call internal services directly.

Enables developers and coding agents to refactor Python codebases by re-aliasing imports and migrating dependencies, safely rewriting module paths and callsites through deterministic AST analysis instead of error-prone regex. It also surfaces dependency graphs and refactoring plans that minimize LLM token usage.

Enables static AST-based taint flow tracing from untrusted sources to sensitive sinks, supporting AI code review and security analysis via MCP.

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

MCP server that converts web page URLs to Markdown via the Zyla API.

An enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.