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726,102 tools. Updated 2026-10-30 20:27

"python" matching MCP tools:

  • Check Python source without running it: parse, lint (ruff), type-check (mypy), AST security policy, credential scan. Safe on code you do not trust. Use it on every Python file you generated or edited, before writing it to disk. Alternatives: repair_python to get the corrected source instead of the diagnosis; execute_python to prove the code runs. Auth: a key is required. A free key covers this call, 25 per day, then HTTP 429; get one with POST /v1/keys. Credits are bought without an account, 1 per call: GET /v1/pricing says where to send the xDAI. Or pay for this one call with no key at all: call it without one and the result carries x402 payment requirements ($0.01 in USD Coin on eip155:8453); sign them and repeat the call with the payment in _meta['x402/payment']. Arguments: code: the whole file, 1..200000 bytes of UTF-8 measured after encoding (empty is refused with 400, larger with 413); a fragment is fine, but line and column numbers in the answer count from 1 in what you sent. language: must be 'python'; anything else is 400, and the field may be omitted. Of options only transpile_to (e.g. 'javascript', which returns a translated copy in transpiled) acts here; timeout_s, max_iterations, optimize, examples and expected_output need a pass that rewrites or runs the code, so send code alone. Ignored options are not refused, so a call that sets them looks like it worked; and code that does not parse is answered rather than refused: valid=false with the syntax error located, which is the point. Returns valid, score 0..1, diagnostics (rule, message, line, column), security findings, fixes, fixed_code and runtime; see outputSchema. The code and its verdict are retained to improve the service.
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  • Get the actual Python code behind a community leaderboard strategy. Use after `browse_community`: pass an entry's `id` here to read its real `feature_engineering()` + `strategy_config()` source so the user can inspect or tweak it. To deploy it unchanged, pass the same id to `one_shot` as `community_id`. Read-only, no signup needed. Args: community_id: The `id` of a community entry (from `browse_community`). Returns: dict with: id, title, username, description, symbol, timeframe, metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_strat}, and `code` (the full Python source). SHOW the code to the user, and offer to deploy it via one_shot(community_id=...) or tweak it first.
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  • Everything validation does, plus deterministic fixes: the corrected source comes back in fixed_code, and the original is kept whenever the fix cannot be proven safe. The code is still never run. Use it when validation failed and you want the fix rather than the diagnosis. Alternatives: validate_python when the diagnosis is enough; execute_python when the fix has to be proven to run. Auth: a key is required. This call needs a paid key and answers HTTP 402 without one. Credits are bought without an account, 3 per call: GET /v1/pricing says where to send the xDAI. Or pay for this one call with no key at all: call it without one and the result carries x402 payment requirements ($0.03 in USD Coin on eip155:8453); sign them and repeat the call with the payment in _meta['x402/payment']. Arguments: code: the whole file, 1..200000 bytes of UTF-8 measured after encoding (empty is refused with 400, larger with 413); a fragment is fine, but line and column numbers in the answer count from 1 in what you sent. language: must be 'python'; anything else is 400, and the field may be omitted. options.max_iterations (1..10, default 3) caps the fix/verify rounds: raise it for a file with several independent faults, leave it for a snippet. options.optimize (default false) additionally folds constants and drops dead code, and is only worth setting when you asked for a rewrite anyway. options.transpile_to (e.g. 'javascript') returns a translation of the *repaired* source in transpiled, not of what you sent. fixed_code is null when nothing could be proven safe to change, so treat null as 'no fix', not as an error. options.timeout_s, options.examples and options.expected_output do nothing here: nothing is run, so there is no clock, no stdout, and no way to check an example. Returns valid, score 0..1, diagnostics (rule, message, line, column), security findings, fixes, fixed_code and runtime; see outputSchema. The code and its verdict are retained to improve the service.
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  • Validates a Python automation script that runs OUTSIDE the game, on three axes: Python syntax (using the real interpreter), Minecraft commands embedded in the script (against the official command index), and the shape of the /connect WebSocket message envelope. For behavior pack scripts use validate_script instead — Python does not run inside a pack. The embedded command check is the most valuable one: a command written from memory can look syntactically fine and still do nothing in the game. Only strings starting with / are treated as commands. If syntax could not be checked, syntaxChecked is false in the result; ok:true alone does not mean the syntax is valid.
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  • Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.
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Matching MCP Servers

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    This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.
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    MIT

Matching MCP Connectors

  • Run Python code from natural language prompts, with optional PyPI package install.

  • Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.

  • List runnable Epsilon integration examples (Python cron DCA, LangChain tools, Vercel AI SDK tools, Telegram bot). Fetch full source with get_example. No API key required.
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  • Repairs malformed LLM JSON: strips Markdown fences and prose wrappers, fixes trailing commas, converts Python literals (True/False/None) and single/unquoted keys, removes comments, recovers balanced JSON from truncated output. Body {input} -> {ok, repaired, applied}. Costs $0.001 USDC on Base per call.
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  • List all 71 available programming languages and their IDs for code execution. Common IDs: 71=Python 3.8, 63=JavaScript (Node.js), 62=Java, 54=C++ (GCC), 60=Go, 73=Rust, 51=C#, 46=Bash. Returns full list with compiler/interpreter versions (Judge0 CE)
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  • Get end-of-life status. Use this when the user asks whether a software version is still supported or when it reaches end of life, such as "is Node.js 20 still supported?" or "which Python versions get security fixes?". Pass the product (nodejs, python, ubuntu, postgresql and so on) and optionally a version or release cycle. With a version it returns that cycle's end-of-life date, whether it has passed, LTS dates and the latest patch. Without one it returns the release cycles that are still supported. Data comes from endoflife.date, maintained by volunteers: confirm with the vendor for contract or compliance decisions. Not for package vulnerabilities.
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  • Get a single release cycle's support details for a product — release date, EOL, active-support end, latest patch, LTS, and any extended-support window. Use for a precise version question like "when does Python 3.9 lose support?". `product` is a slug from list_products; `cycle` is a version like "3.12", "20.04", "18". Keyless.
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  • List a project's notebooks, most recently changed first, each with its _id (the notebookId other notebook tools take), title, description and who made it; fastero_read_notebook reads one's cells. Personal notebooks are not listed. Python projects and Streamlit apps have list tools of their own.
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  • Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).
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  • Convert a curl command (bash/zsh quoting, $'...' strings, \ line continuations, or Windows cmd ^ escaping from 'Copy as cURL') into JavaScript fetch, Node Axios, Python requests, Go net/http or PHP ext-curl. Follows curl semantics: -d implies POST with application/x-www-form-urlencoded, repeated -d joins with &, --json sets JSON headers, -G moves data to the query string, -F is multipart, -u is Basic auth, no redirects without -L. Nothing is sent over the network. Returns: Text: the generated code, followed by notes on anything not translated. structuredContent { code, method, url, headers[{ name, value }], hasBody, warnings[] }. Example input: {"command":"curl -X POST https://api.example.com/v1/items -H 'Content-Type: application/json' -d '{\"name\":\"Ada\"}'","target":"python"} On error, includes hint: Send the command exactly as copied, including quotes. The word curl must be present.
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  • Fetch full AWS doc pages as markdown. `search_documentation` already returns verbatim page chunks, so don't re-read a URL whose chunk you already have to "confirm" or "round out" an answer -- the chunk is the real page text; treat it as authoritative. Reading the full page is justified ONLY when the chunks genuinely lack the content: - an enumeration or aggregation ("list all X", "how many X") needs the complete set and the chunks show only part of it; - no search result is on-topic after refining the query, and a known doc URL would have the answer. Otherwise, answer from the chunks. Use exact URLs from `search_documentation`; don't guess slugs. Input: `requests: [{url, max_length?, start_index?}]`. Batch 2-5. - `max_length` default 10000. - `start_index` default 0; use prior `end_index` to continue, TOC offset to jump. Allow-listed prefixes: docs.aws.amazon.com; aws.amazon.com (not /marketplace); repost.aws/knowledge-center; docs.amplify.aws; ui.docs.amplify.aws; github.com/{aws-cloudformation/aws-cloudformation-templates, aws-samples/{aws-cdk-examples, generative-ai-cdk-constructs-samples, serverless-patterns}, awsdocs/aws-cdk-guide, awslabs/aws-solutions-constructs, cdklabs/cdk-nag} (README on `main`); constructs.dev/packages/{@aws-cdk-containers, @aws-cdk, @cdk-cloudformation, aws-analytics-reference-architecture, aws-cdk-lib, cdk-amazon-chime-resources, cdk-aws-lambda-powertools-layer, cdk-ecr-deployment, cdk-lambda-powertools-python-layer, cdk-serverless-clamscan, cdk8s, cdk8s-plus-33}; strandsagents.com/latest/documentation/docs/; karpenter.sh/docs/; Amazon Braket: {amazon-braket-sdk-python, amazon-braket-schemas-python, amazon-braket-default-simulator-python, amazon-braket-pennylane-plugin-python, amazon-braket-algorithm-library, qiskit-braket-provider, autoqasm, qirtoqasm}.readthedocs.io and github.com/amazon-braket/* (blob/tree/raw). Output: SUCCESS -- markdown + `total_length, start_index, end_index, truncated, redirected_url?` (truncated includes TOC with char ranges). ERROR -- `error_code` in {not_found, invalid_url, throttled, downstream_error, validation_error}.
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  • Test a specific Python package/version on a supported Python/Linux target runtime using empirical execution. Returns scoped install evidence, usable-import evidence when requested, and a scoped result/receipt. Supported boundary: public PyPI on Linux x86_64 / CPython 3.13. This is not generic package advice, security verification, arbitrary Python execution, broad compatibility testing, feature behavior testing, or application integration testing.
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  • Queue a bounded Blender recipe, never arbitrary Python. Saves GLB and .blend in the workspace as an unvalidated work version with a shared Scene Studio link. Read gripforge_scene_schema for recipe fields. Supports original primitive/custom meshes, PBR colors and keyed transforms. Poll gripforge_generation_read; final visual approval must use GripForge rendering, not Blender screenshots.
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  • Read one Python project in full: its name, description, source (local, or the repository, branch and folder it is linked to), Python environment, entrypoints (the files it can run, each with the id fastero_run_python_project and fastero_set_python_schedule take) and localFiles, every file stored in it with its size. Use it to find an entrypoint id or see what is stored; fastero_list_python_projects finds the pythonProjectId, fastero_list_python_files lists files folder by folder, a linked repository's included, and fastero_list_python_runs lists its runs. Its schedule is a trigger, py:<pythonProjectId>:<entrypointId> in fastero_list_triggers. A deleted project still answers here, with isDeleted true; an id with no Python project in this project answers "Project not found". Any project member, viewers included, can read it.
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  • Read what one finished Python run printed: returns stdout, stderr and truncated. Each stream keeps its end, where a failed run's traceback is: the run saves the last 60,000 characters of each, and this returns the last 50,000 of those. When the start of either was cut, truncated is true and a note says so, with how long each saved stream was. The runId comes from fastero_list_python_runs, which also gives a run's status and error without the log. Only a run that has finished, succeeded or failed, has a log: a run still queued or running answers "This run has no saved output", as does a runId from another Python project. The files a run saved are read with fastero_read_python_file. Any project member, viewers included, can read it.
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  • Latest version, summary, licence, required Python version, home page, release date and number of releases of a Python package on PyPI. Use to check a dependency before installing it. Example: package=requests. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
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  • Latest version, summary, licence, required Python version, home page, release date and number of releases of a Python package on PyPI. Use to check a dependency before installing it. Example: package=requests. Price $0.01/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.
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