"How to create the most intelligent agent" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Vet an agent skill before you install it: structure, triggers, secrets.
Zero-auth Cryptographic Notary & AST Verifier: Reed-Muller RM(1,3), L1..L7, RFC 6962 & ES256 JWS.
Gives any public GitHub repo a safety grade (A to F) in plain English, with a clear next step: install, ask first, or don't install.
Safety grade (A to F) for any public GitHub repo, in plain English, before you install it.
Ask Verse anything with sources, plus code review, translation and more paid per call over x402.
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-c.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.
Find what to fix on a public website, for search engines and for AI answers.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Per-harness pre-open verdict on a received repo's agent-control surface.
**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
Hosted, OAuth-gated endpoint for quantakrypto's post-quantum crypto tools: scan code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and get NIST ML-KEM/ML-DSA/SLH-DSA migration guidance over authenticated HTTP — nothing to install. Sign-in required (Google/GitHub/email). Same tools as the open-source @quantakrypto/mcp server; source at github.com/quantakrypto/pqc-tools.
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.
Pine Script backtest-trap checks, backtest reconciliation and official Korean finance data.
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).
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
CodeSentinel — AI-powered codebase health agent
Floor plans as code: compile, lint and repair ArchLang (.arch) floor plans to SVG, DXF and PDF.
The official Svelte MCP server providing docs and autofixing tools for Svelte development
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Cut AI coding agent token usage up to 90% via AST slicing, dependency graphs & security guards.
Search the source code (HTML, JavaScript, CSS) of web pages.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Software Heritage MCP. The archive of public source code: which repositories have been archived…
Audit AI Agent SDKs and MCP servers for breaking changes, schema drift, and migration fixes.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Scan AI agent skills, MCP server packages and MCP configs before you install them. Static analysis.
Check PyPI and npm upgrades: known vulnerabilities, the safe version, and what each upgrade breaks.
Check code against secure-coding rules mapped to ISO 27001 and the DPDP Act. Free, no account.
ClearlyDefined — the licence, copyright attribution and provenance actually found inside an…
Check an agent skill before you install it: which of your skills will it clash with?
Bounded software search, unknown requirements, and the origins of project identifiers.
Checks UI code for AI-default design patterns and gives the fix. By Precious Studio.
MCP server providing Pine Script v6 documentation. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
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.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
