"GitHub code repository platform" matching MCP connectors:

Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

Agent payments ecosystem intelligence. Scans GitHub/HN/npm across AP2, ACP, x402, MPP, UCP.

B2A2H platform — tracks GA4, Vercel deployments, GitHub workflows with AI-powered ROI analytics.

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

Furgonetka MCP Server is an extension for LLMs (such as Claude) that integrates AI assistants with Poland's most popular courier brokerage platform. The server enables models to interact directly with services from various couriers (including InPost, DPD, DHL, UPS, and Poczta Polska) through a single, unified interface. With this integration, your AI stops just "writing about logistics" and starts actually managing it.

AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

Vet any MCP server before you depend on it: live health from GitHub, npm and PyPI.

API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.

API monitoring from your editor. Checks the JSON your endpoints return, not just the status code.

An AI that doesn't just answer questions about your IoT deployment — it changes it. Kilo is the IoT platform where AI controls real-world devices: point Claude, ChatGPT, Cursor or Codex at a live commercial deployment and read live telemetry, provision LoRaWAN and MQTT hardware, deploy automation rules, work the alarm queue, and send commands to physical equipment. Hosted and OAuth-secured — no API key to mint, and your assistant is bounded by your own permissions. https://kiloiot.io

Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.

PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.

Real-time CVE, exploit, and vulnerability intelligence for AI assistants (350K+ CVEs, 115K+ PoCs)

Katalon True Platform MCP: design tests, run with AI, upload reports, assess release readiness.

RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.

MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.

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.

Uptime monitoring with 127 tools across 23 protocols. Tag filtering + Code Mode.