"Open Collective" matching MCP servers:

Open Kioku is the local-first code intelligence and evidence layer for AI coding agents (Claude, Cursor, Codex, Zed, and other MCP clients). Instead of letting agents blindly crawl files, guess blast radius, or read the entire repository repeatedly, Open Kioku gives them a precise, pre-indexed code index to build evidence-backed plans before they edit, and verify boundary limits after they edit.

Enables AI assistants to search and read the official Open Play developer documentation and inspect TypeScript and Unity SDK symbols, signatures, and summaries.

Enables autonomous web-contract verification through MCP tools for planning, classifying, checking, and recording bug patterns, with access to a shared community corpus that strengthens collective detection.

AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.

Exposes Cursor IDE's MCP tools (codebase search, file operations) as an HTTP API for integration with Open WebUI, n8n, and other automation tools.

Enables an AI agent to reverse-engineer a compiled program with Ghidra — inspecting decompiled code, instructions, callers, memory bytes, and strings — without any source code. Every reply is labelled as fact, computed, or guess, and each claim traces back to hash-checked saved evidence.

MCP server bridging tool calls to Neovim editor actions via RPC. Enables AI agents to open files, run Lua, manage quickfix lists, fetch diagnostics, and send notifications.

Provides VS Code active editor context (open file, cursor position, selection) to MCP-compatible AI tools.

Provides a real API for coding agents to look up design system components, props, and tokens, preventing guessed answers.

Enables safety-ranked discovery of open-source components across npm, PyPI, crates.io, RubyGems, GitHub, and Hugging Face, with license, security, and health checks.

MCP server that builds a deterministic, source-traceable knowledge index of any codebase, enabling glossary lookup, code graphs, and exact-token search with every fact linked to its source file and line.

Enables searching LinuxServer.io images, auditing Docker Compose and run commands against documentation-derived conventions, and searching open/closed image requests to prepare drafts without submission.

Enables searching and reading Android Open Source Project (AOSP) source code via cs.android.com, with support for regex search, file content retrieval, and symbol suggestions.

MCP server for GeneXus 18 that provides tools to open knowledge bases, list objects, and read object source code.

Enables asking natural language questions about OpenSSF Scorecard security assessments for open source projects.

Provides tools to prepare and validate ABAP Open SQL statements for SAP's ADT data-preview console, automatically fixing dialect issues like parenthesis spacing and 255-character limits.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.

Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.

An MCP server that gives AI assistants the ability to check open-source packages for vulnerabilities, enrich findings with real-world exploit intelligence, and statically analyse whether vulnerable code is actually reachable in your project.

MCP server integrating Rizin reverse engineering, RzGhidra decompiler, and capa for binary analysis, enabling LLMs to open binaries, identify capabilities, extract function addresses, and decompile to C pseudocode.

Floor plans as code. Compile, describe, lint, validate, score, repair, fix, finish, suggest and complete ArchLang (.arch) plans: a deterministic open-source DSL and compiler that renders floor plans to SVG, DXF or PDF with geometric validation. Runs locally over stdio; no API key or network needed.

Enables AI agents to interact with IDA Pro databases and GUI, supporting reverse engineering tasks such as analyzing binaries and querying open files via natural language.

The dependency bloodhound for AI coding agents. Hound is a free, open-source MCP server that gives AI coding agents a nose for supply chain security. It scans packages for vulnerabilities, checks licenses, inspects dependency trees, and detects typosquatting — with zero API keys, zero config, and zero cost.

40 regulation-and-deadline linters (CRA/CSAF, PCI DSS 6.4.3, WCAG 2.1 AA, DORA, NIS2, EU AI Act, KSeF, NF-e) that AI agents call over MCP. Free checks on the open file; licence key unlocks workspace scan and CI exit code.

Open-source MCP server and CLI. It maps every function to the tests that call it, ranks untested risk, and uses mutation proof to show a test catches a break. Local, MIT.

Enables AI agents to read and edit Godot 4.x scenes and resources, introspect the class API, run the game in a managed headless process with frame stepping, input injection and screenshots, validate scripts, and diagnose code via a built-in GDScript LSP plus a bridge to an already open editor.

Own your sovereign AI model. Domain-specific fine-tuning of open-source LLMs and SLMs with total control and zero infrastructure hassle. Tuning Engines provides specialized tuning agents to tailor top open models to your needs — fast, predictable, fully delivered. Fine-tune Qwen, Llama, DeepSeek, Mistral, Gemma, Phi, StarCoder, and CodeLlama models from 1B to 72B parameters on your data via CLI o

memex is a developer context-continuity MCP server — it watches your git repos and builds a temporal knowledge graph (modules, symbols, decisions, open problems) via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via npx -y stifler-memex-mcp. MIT licensed.

Enables AI agents to turn codebase changes into animated, narrated presentations that open in a browser and update live as the agent builds them, including stepped diffs, sequence diagrams, and review feedback loops.

Turns an ML/QSAR/GNN workflow into a DAG of pipeline steps and its experiments into a branching run tree stored as plain files in the repository. Lets coding assistants register steps, log runs with params, metrics and artifacts, scan existing projects statically, and open a KNIME-style browser view of the map.