"markdown" matching MCP servers:

MCP server that transforms raw log query results into structured incident reports (Markdown, JSON, HTML) with correlation to git commits and tickets.

Enables causal root cause analysis with 56 tools covering causal graph construction, 10 RCA model families plus 3 dedicated PyRCA algorithms (Salesforce PyRCA, BSD-3-Clause), multi-model consensus, and PDF/HTML/Excel/Markdown report generation. Works with Claude, Ollama, Groq, OpenAI, Gemini, LangChain, Cursor — 10 providers.

Enables AI agents to run container forensics, generate container obituaries, and audit git repository history as native MCP tools, producing markdown reports they can reason over.

A read-only diagnostic server that inspects Linux PTP/Chrony status, PHC hardware-timestamping capabilities, and ROS 2 topic header timestamps to surface clock-domain mismatches, jitter, drift, and alignment problems in robotics systems. It exposes 15 tools and 4 prompts that generate traceable JSON or Markdown reports, running entirely locally over stdio without root access, cloud inference, or any clock modification.

Enables AI assistants to manage Zabbix enterprise monitoring through 100 Portuguese-language tools covering controlled network discovery, staged device onboarding, PDF/XLSX/CSV/JSON/Markdown reporting, and governance with RBAC modes, two-step approval, secret redaction, and audit logging. Supports Zabbix 6.0 through 7.4 with stdio, SSE, and Docker deployment.

Enables querying and formatting Loki logs from Grafana via the Model Context Protocol. It supports LogQL queries, label retrieval, and provides results in text, JSON, or markdown formats.

Exposes knowledge retrieval to AI tools over MCP with dense, sparse, and hybrid search, RRF fusion, configurable reranking, and modular ingestion of PDF/Markdown documents including image captioning. It also provides query tracing and Ragas-based evaluation so pipelines can be swapped, debugged, and tested independently.

Predictive context-rot scoring, Ed25519-signed agent-write journal, and working/episodic/semantic tiering for LLM agents on Markdown vaults.

Enables AI agents to interact with WordPress sites over MCP, providing read-only tools for AEO/GEO readiness, AI visibility, traffic, request logs, bot identification, page checks, and schema/markdown previews, plus opt-in write tools to draft, edit, and publish posts with permission checks and auditing.