12 Best Drawio Mcp Server Alternatives in 2026 (Free & Paid)
Drawio Mcp Server is draw.io Model Context Protocol (MCP) Server, priced at free. If it is too expensive, missing a feature or simply not for you, these are the strongest alternatives we have reviewed.
1
Up-to-date, version-specific library documentation for your coding agent
★ 63k · +180 this week · MIT · updated 2026-10-02
9.0/10
What it does Context7, from Upstash, gives your coding agent current, version-specific documentation and code examples for the libraries you use. The goal is to stop the agent from writing code against old APIs, or APIs that never existed, that it picked up in training. Ask for something like "Next.js 14 middleware" and Context7 finds the right library and version,… Read more →
Pros
- Fixes outdated-API mistakes
- Huge library coverage
- Free tier
Cons
- Rate limits without an API key
Pricing: Freemium · docs context
2
The official Python SDK for building Model Context Protocol servers and clients
★ 24k · +55 this week · MIT · updated 2026-10-02
8.5/10
What it does This is the official Python SDK for the Model Context Protocol, maintained by the MCP project. It lets you build MCP servers that expose tools, resources and prompts to any MCP host, and MCP clients that connect to any server. The same package does both. Servers are written as plain type-hinted Python functions: the type hints become… Read more →
Pros
- Official reference implementation for MCP in Python
- Type hints become the schema, no boilerplate
- Supports stdio, Streamable HTTP and SSE
Cons
- A library to build with, not a ready-to-run server
- v2 is a major rework; pin a version until you migrate
Pricing: Open source · mcp python sdk mcp-server mcp-client
3
Semantic code retrieval and editing toolkit for agents, powered by language servers
★ 30k · +146 this week · GPL-3.0-or-later · updated 2026-09-30
8.2/10
What it does Serena, made by Oraios, is an open-source MCP server that gives a coding agent IDE-style code navigation and editing. Most agents read whole files and edit by searching for text. Serena instead lets the agent work with symbols: it can find a function or class, list what references it, and replace or insert code at the symbol… Read more →
Pros
- Symbol-level navigation saves tokens
- Many languages via LSP
- Free
Pricing: Free · code navigation lsp
4
Local knowledge graph of your repo so agents query call chains instead of grepping files
★ 46k · +765 this week · MIT · updated 2026-10-02
7.8/10
What it does Codebase Memory MCP turns a repository into a persistent knowledge graph that your coding agent can query, so it does not have to grep and read files one at a time. It is a single native binary written in C. It parses code with bundled tree-sitter grammars for more than 150 languages and adds type resolution for… Read more →
Pros
- Single native binary with no API key, runtime or hosted service
- Call-path tracing and git-diff impact mapping
- Index stays current through a file watcher
Cons
- Installer edits many agent config files and adds skills and hooks unless you pass --skip-config
- Token-saving figures come from the authors' own benchmarks
Pricing: Open source · code-intelligence knowledge-graph tree-sitter local code-search
5
MCP server and skills giving coding agents versioned PostgreSQL and TimescaleDB expertise
★ 1.9k · +7 this week · Apache-2.0 · updated 2026-10-01
7.7/10
What it does pg-aiguide gives AI coding tools deep, version-aware PostgreSQL knowledge so they write better database code. AI assistants often produce Postgres that is outdated, missing constraints and indexes, or unaware of modern features; pg-aiguide counters that by offering semantic search across the official PostgreSQL manual, curated best-practice "skills" that agents apply automatically, and extension ecosystem docs starting with… Read more →
Pros
- Version-aware doc search plus opinionated best-practice skills
- Public hosted server works with any MCP client; skills usable standalone
Cons
- Doc queries go to the hosted mcp.tigerdata.com endpoint
- Scope is Postgres and its ecosystem only
Pricing: Open source · postgres timescaledb documentation semantic-search database
6
Self-hosted persistent memory for coding agents with semantic search and a knowledge graph
★ 2.0k · +15 this week · Apache-2.0 · updated 2026-10-02
7.6/10
What it does MCP Memory Service gives coding agents a long-term memory that lasts between sessions. The agent can save a decision, a code pattern or an architecture note in one conversation and find it again later with semantic search. That saves you re-explaining the project every time. Memories are stored with tags and embeddings, which are computed locally with… Read more →
Pros
- Local-first with on-device ONNX embeddings
- MCP, REST API and dashboard share one store across agents
- Very active releases
Cons
- Large surface area; several serious auth advisories fixed recently
- Default embedding model is English-only
Pricing: Open source · memory semantic-search knowledge-graph rest-api self-hosted
7
Self-hosted, version-specific documentation index for coding agents, an open Context7 alternative
★ 1.8k · +21 this week · MIT · updated 2026-09-28
7.6/10
What it does Grounded Docs, published as Docs MCP Server, builds a private index of the library documentation your project depends on so your coding agent can look up current, version-specific answers instead of guessing. You point it at documentation websites, GitHub repositories, npm or PyPI packages, local folders or zip archives. It crawls them, splits the content into chunks… Read more →
Pros
- Indexes websites, GitHub repos, npm/PyPI packages and local files on your own machine
- Queries target a specific library version
- Web UI, CLI and Agent Skills alongside the MCP server
Cons
- Best search quality needs an embedding provider, which may cost money or need a local model
- Anonymous telemetry is on by default
Pricing: Open source · documentation rag context version-specific self-hosted
8
Sandboxed execution and local search index that keep bulky tool output out of context
★ 25k · +908 this week · Elastic-2.0 · updated 2026-10-02
7.4/10
What it does Context Mode is an MCP server, packaged with hooks, that keeps bulky tool output out of your coding agent's context window. The agent does not read large files, logs or API responses directly. It runs code in a sandboxed subprocess and only the printed result comes back. Longer output is indexed into a local SQLite full-text store,… Read more →
Pros
- Only stdout or matching search hits reach the model
- Session events survive context compaction
- Setup guides for a wide range of agents
Cons
- Elastic License 2.0 is source-available, not open source
- Execute tools run arbitrary code, and hooks change how the agent routes tool calls
Pricing: Free · context-window sandbox full-text-search hooks session-memory
9
Convert PDFs, Office files, audio, images, web pages and YouTube to Markdown for agents
★ 3.0k · MIT · updated 2026-09-25
7.0/10
What it does Markdownify MCP turns files and web content into Markdown that a coding agent can read. It wraps Microsoft's markitdown library, which the install script puts into a local Python virtual environment. The server passes a PDF, Office document, image, audio file, web page or YouTube link through it and returns clean text. This is handy when a… Read more →
Pros
- Handles many input formats through Microsoft's markitdown
- Optional MD_ALLOWED_PATHS read boundary
- No API keys needed
Cons
- Manual clone-and-build setup needing Bun, Node and Python
- Docker image lacks OCR and audio transcription
Pricing: Open source · markdown document-conversion pdf markitdown transcription
10
Gives agents shadcn/ui component source, demos and blocks for React, Svelte, Vue and RN
★ 3.0k · +11 this week · MIT · updated 2026-05-16
6.8/10
What it does shadcn-ui-mcp-server, by Janardhan Polle, gives an AI agent direct access to shadcn/ui component source, demos, blocks and metadata. Instead of guessing how a component is built or which dependencies it needs, the agent fetches the current code from the upstream repositories. It supports four implementations: shadcn/ui for React, shadcn-svelte, shadcn-vue and react-native-reusables, and for React it can… Read more →
Pros
- Covers React, Svelte, Vue and React Native ports
- Fetches real upstream source instead of model memory
- stdio, SSE and Docker options
Cons
- Needs a GitHub token to avoid low rate limits
- Overlaps with shadcn's own agent tooling
Pricing: Open source · shadcn-ui react components frontend mcp-server
11
Community plugin to control Blender 3D with any LLM of your choice
★ 30k · +521 this week · MIT · updated 2026-09-30
6.5/10
What it does MCP for Blender is a community-built Model Context Protocol server that gives AI assistants direct control over Blender, the 3D modeling and animation software. It enables prompt-driven 3D scene creation — an agent can create and edit objects, apply materials, inspect scene data and generate ready-to-use 3D assets, turning natural-language requests into actual Blender operations rather than… Read more →
Pros
- 29,000+ GitHub stars, MIT licensed and very actively maintained
- Deep Blender control: objects, materials and scene export, plus asset generation via Poly Haven/Sketchfab/Hyper3D
- Documented with many clients: Claude Desktop, Claude Code, Cursor, VS Code, Codex, OpenCode and Antigravity
Cons
- Requires Blender 3.0+, Python 3.10+ and the uv package manager to install
- Can execute arbitrary Python inside Blender, so agent-generated scripts should be reviewed before running on production files
Pricing: Free · blender 3d-modeling blender-addon mcp-server claude-code
12
The Unofficial and Awesome Home Assistant MCP Server
★ 4.9k · +81 this week · MIT · updated 2026-10-02
6.5/10
What it does ha-mcp is an unofficial Model Context Protocol server for Home Assistant. It lets AI assistants query and control a Home Assistant smart-home instance in natural language — checking device states, calling services, and managing the automations, scripts and dashboards that make up a home automation setup. What is inside / Tools it gives your agent The server… Read more →
Pros
- 92+ tools spanning search, control, automation management, monitoring and system administration
- Runs against your own local Home Assistant instance, no third-party cloud dependency required
- Documented to work with 15+ AI clients, including Claude Desktop, Claude.ai, ChatGPT, Cursor and Copilot
Cons
- Setup requires installing a custom HACS component plus configuring Home Assistant integration
- Unofficial community project, not maintained by the Home Assistant core team
Pricing: Free · home-assistant smart-home home-automation hacs mcp-server