MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13.985 servers in dieser Kategorie.
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Lets an AI assistant build, simulate, and inspect uSimmics 5.9 electronic circuits including harmonic balance, parameter sweeps, and spectrum plots.
Enables semantic code search by allowing an AI client to find functions by meaning using LLM-generated summaries and vector database pointers.
Validates propositional logic assertions and formal symbolic deductions using a zero-dependency mathematical verification engine.
Enables MCP servers to diagnose memory and persistence issues by reporting on user identity, storage durability, and server instance consistency.
Repairs Japanese dates corrupted by OCR errors by mapping look-alike characters and validating them against historical era calendars.
Converts Japanese kanji numerals into digits while preserving proper nouns, names, and idioms to ensure accurate text normalization.
Provides a local code navigation index that tells coding agents where symbols are defined, who calls them, and which tests cover them.
Provides Python resilience for LLM and Agent calls using timeouts, jittered exponential backoff, and sliding-window circuit breakers.
Installs curated AI coding agent skills, engineering rules, MCP servers, and LSP tooling into your local development projects.
Audits MCP tools for voice assistants to detect prompt injection, privacy leaks, and speech-unfriendly responses.
Converts codebases into a deterministic AST knowledge graph to allow coding agents to query symbols, callers, and dependencies via MCP.
Automates 2D sprite slicing, SpriteFrames generation, and feet-aligned collider creation for Godot 4.x projects.
Provides a minimal Python template for building MCP servers using the official SDK with typed tools and stdio support.
Allows AI agents to read, search, and analyze code across local and remote git repositories including history, diffs, and blame.
Performs linting, testing, and safety gating for ad-platform MCP servers to ensure tool definitions and AI agent behaviors are secure.
Converts API documentation into working MCP servers and verifies tool functionality by calling them against the API.
Enables AI clients to perform RAG over GitHub engineering history, including pull requests, review threads, issues, and commits.
Provides structural, semantic, and architectural intelligence for codebases using dependency graphs, impact analysis, and data lineage.
Scans MCP server configurations and source code for security risks like shell execution, unscoped file access, and secret exposure.
Allows AI agents to search, filter, and retrieve Smart India Hackathon 2026 problem statements via a ranked search engine.
