20 MATLAB MCP Server alternatives
MATLAB MCP Server: MathWorks' official MCP server: let Claude Code, Copilot or Codex run MATLAB code, lint it and execute unit tests on your local install. 20 MCP servers do similar work, most sharing Official, Developers and Testing, ranked by how much they have in common with MATLAB MCP Server.
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by Daytona
Daytona's official MCP server: give an agent a disposable cloud sandbox with a file system, git, process execution, computer use and a live preview URL.
Also: Code Execution, Developers, Official
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by PortSwigger
PortSwigger's official Burp Suite extension exposing proxy history, Repeater and scanning to AI agents over MCP.
Also: Developers, Official, Testing
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by Model Context Protocol
A reference/test server that exercises every MCP feature — prompts, resources, tools, and sampling — for building and debugging clients.
Also: Developers, Official, Testing
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by PTC (Onshape)
PTC's MCP server for Onshape: describe a custom CAD feature in plain language and have an AI write, insert, run and debug the FeatureScript until it works.
Also: Engineering, Official
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by Mux
Official MCP server for the Mux video API, built on a code-execution scheme: the agent writes TypeScript against the SDK and runs it in a Deno sandbox.
Also: Code Execution, Official
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by MCPJam
Testing and evaluation workbench for MCP server authors — inspect tools and prompts, debug OAuth step by step, and score behaviour across 16 client configurations before shipping.
Also: Developers, Testing
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by FetchSandbox
A sandbox for third-party API integrations: agents replay Stripe, GitHub, Twilio and 50+ other workflows — webhooks, retries and failure cases included — without touching the real API.
Also: Developers, Testing
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by SmartBear
SmartBear's official MCP server, putting BugSnag error monitoring, Reflect and QMetry test management, Zephyr, PactFlow contract testing and the Swagger API Hub behind one agent connection.
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by Microsoft
Browser automation for agents — navigate, click, type, and read pages using Playwright's accessibility tree, no screenshots required.
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by Arm
Arm's official MCP server for porting and tuning software on Arm — semantic docs search, codebase migration scanning, container architecture checks and LLVM-MCA assembly analysis.
Also: Developers, Official
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by Nrwl (Nx)
Nx's official MCP server hands an agent the monorepo's real structure — the project graph, task definitions, generators, owners and Nx docs — so edits land with cross-project impact in view instead of guessed from filenames.
Also: Developers, Official
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by Espressif Systems
Espressif's local MCP server built into idf.py — lets an AI client set the chip target, build, flash and clean an ESP-IDF project and read back config, build status and connected serial ports.
Also: Developers, Official
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by Clerk
Clerk's official remote MCP server feeds AI coding assistants verified Clerk SDK snippets and implementation patterns, so generated auth code matches the current API.
Also: Developers, Official
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by Inngest
Inngest's official MCP servers for Cloud and the local Dev Server — inspect functions, replay runs, send test events and query Insights from a coding agent.
Also: Developers, Official
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by GitHub
GitHub's official MCP server — manage issues, pull requests, repositories, code search, and Actions from your agent.
Also: Developers, Official
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by Model Context Protocol
Time and timezone utilities — get the current time in any timezone and convert between zones.
Also: Developers, Official
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by Model Context Protocol
Read, search, and manipulate Git repositories — status, diffs, logs, branches, commits, and more.
Also: Developers, Official
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by Model Context Protocol
Secure local file operations for agents — read, write, search, and edit files within configurable allowed directories.
Also: Developers, Official
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by E2B
Run AI-generated code safely in an isolated cloud sandbox, with results returned as data rather than text.
Also: Code Execution
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by Modern Treasury
Modern Treasury's official MCP server, built on Code Mode: the agent writes TypeScript against the payments SDK and runs it in a sandbox instead of calling one tool per endpoint.
Also: Code Execution
