"TypeScript" matching MCP servers:

A TypeScript/JavaScript refactoring MCP server that uses the TypeScript compiler to perform safe, type-aware code transformations such as renaming, extracting functions, and organizing imports across your codebase.

A TypeScript boilerplate for building Model Context Protocol (MCP) servers with example tools (calculator, greet) and resources (system info).

Provides a tool to fetch real-time cryptocurrency prices from the Binance API and logs server activity to file resources. It allows users to query crypto symbols and monitor MCP interactions through natural language interfaces.

A boilerplate for building MCP servers using TypeScript, with example tools like calculator and greet, plus resource support.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript, including example tools and resources to get started.

A starter project for rapidly developing Model Context Protocol (MCP) servers using the TypeScript SDK and Zod schema validation. It includes example implementations for tools and resources to streamline the creation of custom MCP integrations.

A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.

A starter project for rapidly developing Model Context Protocol servers using TypeScript and the official SDK. It includes pre-implemented examples of tools and resources to help developers jumpstart their custom MCP server development.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).

A basic MCP server for managing a todo list stored in a local JSON file, enabling task creation, completion, listing, and daily summary generation.

A starter project for quickly building Model Context Protocol servers using TypeScript and the official SDK. It includes example tools and resources to demonstrate core MCP functionality like arithmetic operations and system information retrieval.

An MCP server that connects AI assistants to a Neo4j graph database, enabling querying of movie data through tools like graph statistics, genre-based search, and movie details, along with advanced features such as LLM sampling and completions.

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Enables chat assistants to insert graded coding exercises (Python, JavaScript, TypeScript, SQL) with hidden tests, and returns failed attempts to the conversation so the tutor can explain the learner's specific mistake.

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Provides JavaScript/TypeScript code intelligence via LSP, enabling goto definition, hover info, and find references through MCP tools.

🐍 🏠 - Code graph for AI agents over MCP: resolves Python and TypeScript calls to fully qualified names and reports the share it could not resolve instead of guessing. Multi-hop impact analysis, authz reachability audit, architectural drift against declared patterns. Local, SQLite. uvx codegraph-brain

Provides a local, version-exact API index for installed Python and TypeScript packages, enabling accurate lookups and static code checking that catches hallucinated or misused APIs without executing the code.

A production-ready template for building Model Context Protocol servers in TypeScript. It provides an example tool, resource, and prompt with a clean separation of transport, registration, and domain logic.

A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.

Enables real-time code analysis for JavaScript, TypeScript, and Python through Claude Desktop and other MCP clients, detecting bugs, code smells, and security vulnerabilities with automated quick fixes.

Enables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

Enables semantic code search by matching natural-language questions against LLM-written summaries of every function and returning pointers (symbol, file, line range) instead of source code. Supports summary, raw-code, and hybrid search modes across Python, Go, TypeScript/TSX, JavaScript, and C++ repositories.

A TypeScript MCP server that connects AI agents to Black Duck Coverity Connect for static analysis defect management, enabling browsing projects, streams, and defects with event traces.

A TypeScript MCP server for financial data aggregation that connects AI assistants to SEC EDGAR filings, XBRL statements, FRED economic indicators, and real-time market data.

Enables AI coding assistants to inspect FastAPI applications, routers, and Pydantic models, including generating TypeScript interfaces and Zod schemas and discovering backend routes without hallucination.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

@codapult/guard is local-first, model-agnostic architecture guardrail software for AI coding agents. Use it to detect architectural drift, enforce approved software architecture rules, and check code changes in JavaScript and TypeScript projects.

Enables AI agents to execute Python, TypeScript, and JavaScript code in persistent Jupyter kernels with stateful variables and imports across interactions.