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Python Docs MCP Server MCP Server

The canonical Python stdlib oracle for AI coding agents — always free, always MIT, token-frugal.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled Python Docs MCP Server yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

Published as python-docs-mcp-server on pypi. Runs locally.

Known issues

33 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

Most discussed

[v0.5.0] benchmark adapters — define OpenAI/Google model matrix

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md.

Aymen explicitly wants OpenAI and Google model families included. This issue defines the model/client matrix and provider adapter contracts without letting model choice blur into a single fake tool-quality score.

Goal

Add the benchmark model matrix and provider adapter contracts for OpenAI and Google-backed runs, with tests that use mocks rather than paid/live calls.

Acceptance criteria

  • The

Read the thread · 2026-06-08 · closed · 3 comments

[v0.5.0] benchmark tokens — Claude token-count integration after client rewrap (live-phase-gated)

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md (work package 6; "Token Measurement" section). Roadmap decision 5.8: Claude tokenizer, measured after client-side rewrap. Maintainer decision on record (PLAN.md Amendment 2026-07-08): the Anthropic count-tokens API is the counting mechanism, confined to the maintainer-run live phase — exact counts for headline claims, zero runtime network access or new dependencies in the server itself. Token records (mer

Read the thread · 2026-07-08 · closed · 2 comments

[v0.5.0] benchmark adapters — competitor MCP tool adapters (Context7, GitMCP, DeepWiki, Ref.tools)

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md (work package 4, real-adapter half — #72 delivered the manifest format; #85 delivered LLM-provider adapters, which are a different axis). Eligibility rules and candidate set (Context7, GitMCP, DeepWiki, Ref.tools) live in the methodology's "Systems Under Test" section.

Status: NOT agent-ready. Filed by the orchestrator per PLAN.md T6(b); Vision must review, pin the competitor versions/endpoints, create t

Read the thread · 2026-07-08 · closed · 2 comments

[v0.5.0] benchmark corpus — mechanical slice: schema, validator, placeholder fixture (split from #71)

Context

Mechanical slice split out of #71 under maintainer approval (D4 in the 2026-07-08 gate record, sign-off mirrored on #63). #71's question authorship and quality review remain permanently the maintainer's; this issue delivers only the schema, the validator, and a clearly-synthetic placeholder fixture so #88 (correctness scorer) can unblock without waiting for the full 50-question corpus.

Hard boundary: docs/benchmarks/corpus.yml is the canonical path reserved for the human-autho

Read the thread · 2026-07-08 · closed · 1 comment

[v0.5.0] docs — write docs/architecture/DESIGN.md (eight-layer design document)

Context

Roadmap §4 assigns v0.5.0 "docs/architecture/DESIGN.md | 5-page design document tying the ADRs together." The eight layers (principle 2.7, enumerated in ADR-006: source connector, ingestion, storage, retrieval, budget, serializer, cache, transport) map to eight planned ADRs, of which four exist or are in flight this run: ADR-001 (source adapters), ADR-006 (serialization), ADR-007 (cache), ADR-008 (transport). ADR-002–005 (ingestion, storage, retrieval, budget) belong to unshipped v

Read the thread · 2026-07-08 · closed · 1 comment

Most recent

[v0.5.0] benchmark reporting — generate raw report and README-safe summary

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md.

The benchmark must produce public-facing output that is credible, boringly auditable, and impossible to confuse with hand-picked marketing numbers.

Goal

Add benchmark reporting that converts raw run artifacts into a full report plus a README-safe summary block gated on reproducible data.

Acceptance criteria

  • README-safe summaries present strict tool + model pairings, for example `python-docs-

Read the thread · 2026-06-08 · closed · 1 comment

[v0.5.0] benchmark runner — add reproducible CLI and artifact layout

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md.

This is an agent-ready plumbing issue. The runner should make the benchmark reproducible from the shell without deciding the corpus or claiming results.

Goal

Add a reproducible benchmark runner CLI that loads a corpus and competitor manifest, executes configured benchmark cells, and writes raw artifacts in a stable layout.

Acceptance criteria

  • A tool failure, timeout, or MCP protocol crash on

Read the thread · 2026-06-08 · closed · 1 comment

[v0.5.0] benchmark corpus — define schema and 50-question eval pack

Context

Parent: #63. Methodology: docs/benchmarks/PUBLIC-BENCHMARK-METHODOLOGY.md.

This is the human-led corpus issue. The public benchmark is only credible if the question set is fixed, balanced, version-aware, and auditable before results are known.

Goal

Define the benchmark corpus schema and the 50-question Python stdlib evaluation pack used by the v0.5.0 public benchmark.

Acceptance criteria

  • docs/benchmarks/corpus.schema.json defines the corpus shape: stable ID, cate

Read the thread · 2026-06-08 · open · 0 comments

[v0.3.0] ingestion — pin CPython source by commit SHA

Context

Read the thread · 2026-05-29 · closed · 0 comments

[v0.3.0] docs — write ADR-001 (Source Adapters)

Context

Read the thread · 2026-05-29 · closed · 0 comments

[v0.3.0] docs — write ADR-006 (Serialization)

Context

Goal

Record the already-l

Read the thread · 2026-05-29 · closed · 0 comments

[v0.3.0] security — audit and document PyYAML safe-loader discipline

Context

Read the thread · 2026-05-29 · closed · 0 comments

See all 16 reports Pod holds for Python Docs MCP Server — of 33 qualified upstream.

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