MCP 服务器

RepoImmune MCP Server

Enables querying a repository's resolved bug history through six read-only tools, allowing agents to check patches against past failures, retrieve regression tests, and replay behavior cases to prevent regressions.

README

Give your coding agent a memory of every bug your repository already fixed.

RepoImmune turns a repository's resolved bugs into code-native, evidence-backed checks that can be queried by humans and coding agents.

Input	Processing	Output
A GitHub repository or PR diff	Retrieve historical issue → fix → test → AST evidence	Exact regression location, source links, protected tests, and the historical fix

RepoImmune live demo: patch evidence and capsule replay

60-second quick start

git clone https://github.com/Alex0AI/RepoImmune.git
cd RepoImmune
python -m venv .venv
# Windows: .venv\Scripts\activate
# macOS/Linux: source .venv/bin/activate
python -m pip install -e .
repoimmune init .
repoimmune check --diff examples/reintroduce-astropy-12907.diff --memory examples/memory
repoimmune replay astropy-12907 --memory examples/memory
repoimmune report --format html

The demo is offline, keyless, and dependency-free at runtime. The check intentionally exits 2 because it finds a real historical regression from Astropy PR #12907.

What is executable memory?

A Behavior Card is not a chat summary. It binds an invariant to before/after code, AST form, exact symbols, regression tests, commits, source URLs, license, evidence class, and an optional replay capsule. RepoImmune refuses to promote a mined candidate when the evidence chain is incomplete.

flowchart LR
  I[Issue / report] --> B[Buggy commit]
  B --> F[Failing behavior]
  F --> P[Fix PR / commit]
  P --> T[Regression test]
  T --> S[AST + symbol change]
  S --> V[Repository invariant]
  V --> C[Patch immunity check]

The included vertical slice detects this exact reversion:

- cright[-right.shape[0]:, -right.shape[1]:] = right
+ cright[-right.shape[0]:, -right.shape[1]:] = 1

It reports the precise line, explains why the all-ones block was historically wrong, links the issue/PR/merge commit, and names the pytest cases added with the fix.

CLI

repoimmune init .
repoimmune mine --repo owner/project
repoimmune check --diff HEAD~1
repoimmune recall "pagination returns duplicate rows"
repoimmune explain <behavior-card-id>
repoimmune replay <capsule-id>
repoimmune report --format html
repoimmune validate <card.json>

check emits Markdown, JSON, or SARIF. mine saves conservative candidates only; it never calls an LLM and does not claim a Behavior Card from a title alone.

Agent and CI integrations

The composite GitHub Action analyzes pull-request diffs read-only and uploads SARIF/Markdown evidence.
The stdio MCP server exposes six structured, read-only tools: search_past_failures, explain_code_history, check_patch_against_memory, list_invariants_for_file, get_regression_test, and replay_behavior_case.
The open Agent Skill asks an agent to recall history before risky edits and again before claiming completion. It grants no commit, push, merge, or test-bypass authority.
The static demo works without login or an API key.

Evidence classes

Every result is explicitly one of:

verified: directly replayed or mechanically corroborated with primary code/test evidence.
externally_reported: trusted upstream or benchmark execution record, not reproduced here.
heuristic: useful candidate or similarity signal, not proof.
inconclusive: conflicting or incomplete evidence.

A similarity score is never presented as proof. Findings always show the matched code and source evidence.

Why this is different

Agent/chat memory: remembers conversations or repository facts; RepoImmune mines code history and creates mechanical checks that outlive any agent session.
SWE-bench: evaluates whether an agent can repair an issue; RepoImmune converts resolved issues into durable prevention assets.
Static analysis: starts from general rules; RepoImmune learns repository-specific invariants from that repository's real failures.
Test generation: may create tests; RepoImmune preserves the causal chain among report, buggy/fixed code, test, and invariant.
git blame: tells who and when; RepoImmune explains why behavior must survive and can check it.

See research-landscape.md for the evidence-backed comparison.

Security model

Issue text, PR comments, code, patches, and repository metadata are untrusted data. RepoImmune never evaluates them as instructions. Mining uses bounded HTTPS responses; refs and repository names are validated; capsule runs use fixed argv without a shell, reject absolute paths and symlinks, and time out. Unknown repositories' install scripts or tests are never run by default. See SECURITY.md and docs/threat-model.md.

Current scope and honest limits

The alpha deeply supports Python AST and pytest evidence. TypeScript/TSX has an optional pinned tree-sitter adapter for normalized structure and call extraction; JavaScript uses deterministic token structure, and Jest/Vitest can be recorded as test evidence. Whole-program interprocedural reachability, automatic upstream environment reconstruction, and broad language support are roadmap items. Dataset-scale cards are externally_reported until replayed; the bundled Astropy vertical slice is the only locally verified behavioral capsule in v0.1.0.

Reproducibility

python scripts/build_research_snapshot.py --limit 500 --cards 120
python scripts/run_experiments.py
pytest
coverage run -m pytest && coverage report
ruff check . && mypy src/repoimmune

All published counts are regenerated into research/results.json; classifications and limitations are preserved, including unsuccessful or inconclusive cases. Data provenance lives in DATA_SOURCES.md, THIRD_PARTY.md, and research/data-card.md.

The committed v0.1 snapshot contains 500 candidates, 120 Behavior Cards, 12 repositories, and 30 lightweight structural capsules. On deterministic mutations it detected 120/120 exact historical reversions and 120/120 protected assertion deletions; same-symbol fixed-form refactors produced 9/120 false positives (7.5%). Title-derived retrieval reached Recall@5/MRR 1.0/1.0, but this is explicitly a same-source plumbing test. Independent mining precision and controlled Agent A/B remain inconclusive.