"GitHub repository JOJO-Adam/Stemem" 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.
Finds the GitHub Actions workflow eating your CI bill and suggests fix diffs, verified against runs.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Connect to the MCP Studio SDK MCP server. This server is connected to two sources: the MCP Studio SDK documentation and the GitHub sample application repos. These resources are great for individuals looking to embed MCP Studio SDK into their web applications, and need an easy way to connect to an MCP server that has access reliable resources for AI-assisted engineering workflows.
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.
Living docs and MCP context for GitHub repos — conventions, gaps, and source-cited pages on merge.
Translates a lockfile diff into a human-readable upgrade plan for npm, PyPI, and GitHub Actions.
Track public GitHub repos: free snapshot, paid release, star & issue intel via x402 USDC.
Search, compare and list 460+ open-source AI agent tools ranked by live GitHub activity.
A deliberately tiny, risk-free MCP server for learning how MCP directory listings work. Repository: https://github.com/mikej345/hello-mcp No network calls, no API keys, no user data. Every tool is read-only and pure. Runs over both MCP transports: stdio (for "runs from source" listings) and Streamable HTTP (for "hosted endpoint" listings).
Search and fetch AI agent skills, rules files and MCP servers indexed from GitHub.
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.
Webhook URLs for AI agents: receive, wait for, replay, sign and verify webhooks (Stripe, GitHub…).
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI & Product Hunt — returns a 0-100 reality signal before you build. Supports quick (2 sources) and deep (5 sources) parallel search.
Choose files for an agent handoff using filename decisions. No file contents or credentials.
Ten x402-paid tools for JSON, YAML, cron, diff, text, DNS, WHOIS, GitHub, crypto, and email.
Repository knowledge graph MCP server for codebase understanding and debugging.
Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.
Trending GitHub repos: new & rising daily. $0.01/query. Register in-session — free testnet funds.
