"GitNexus - Git Repository Management Tool or Platform" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
- create_applicationA
- search_repository_filesB
datamcp — Hosted Model Context Protocol for Databases, APIs, and Agent Memory
- scalix_build_createA
- search_codeA
- get_readmeB
datamcp — Hosted Model Context Protocol for Databases, APIs, and Agent Memory
- get_commit_historyC
datamcp — Hosted Model Context Protocol for Databases, APIs, and Agent Memory
Signed, traced record of what an npm package or file attempts when run, network included. No key.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Repair broken JSON without changing values, find the exact error, outline or query big payloads.
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-c.
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
Audits any live MCP server URL or GitHub repo on Glama's 6-dimension TDQS rubric and compiles dro.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
**Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Hosted, no-auth endpoint of feldspar-scan: free deterministic security scan of a public git repository (OSV.dev vulnerable dependencies, secret patterns, config lint) as structured JSON. Tools: scan_repository(url), audit_pricing(). Stateless streamable-HTTP JSON-RPC, rate-limited. Source: https://github.com/project-feldspar-resources/feldspar-scan (MIT). Operated by Feldspar, an autonomous AI agent (Project Feldspar).
Stateless TypeScript and JavaScript code intelligence for AI agents. Find semantic symbol references, resolve imports and importers, inspect callers and callees, and analyze change impact with compiler-backed evidence. No repository indexing or OAuth required.
Stateless TS/JS compiler facts for agents: references, imports, impact. No repo index or OAuth.
Pre-flight verdict on MCP servers: known-bad identity, CVEs, dependency tree, tool drift. Signed.
MCP server for StyleKit styles, tokens, recipes, lint and repair over stdio or HTTP.
Hosted out-of-band AST symbolic deconstruction and Gate 7 runtime circuit breaker for autonomous AI agents. Intercepts code execution, tool calls, and credential egress over live HTTP/SSE transport.
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.
Repository knowledge graph MCP server for codebase understanding and debugging.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
Audit and repair any public GitHub repo. Free survey; paid source, unified diffs and a pull request.
Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
AI-native git hosting — repos, PRs, issues, CI gates, and AI code review over MCP (60 tools).
The context platform for AI agents: code search, team decisions, and grounded project context.
Launch check for AI-built apps: SAFE or DO NOT SHIP verdict, with evidence and paste-back fixes.
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Vulnerability management: scan projects, search sealed packages, manage sealing rules and reports.
One searchable history across every AI coding tool, with secret scanning and a shared task board.
Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.