"Payload CMS" matching MCP servers:

Local, payload-free AI cost visibility for agents. Track spend by model, route, customer, or tagged work without storing prompt or response bodies.

Verifiable API proxy and circuit breaker guard for autonomous agents, offering TLS attestation, payload schema inspection, circuit breaker enforcement, webhook signature verification, and 0G-anchored receipt attestation.

MCP server for AI agent observability, providing trace and span logging, search, latency/tokens/cost metrics, and anomaly detection using an in-memory buffer.

Provides a suite of 33 tools for interacting with Tencent Cloud Log Service (CLS), enabling log analysis, PromQL metrics queries, and resource management. It allows AI assistants to perform CQL/SQL retrieval, manage alarm strategies, and handle data processing tasks with tiered permission controls.

Local-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs

Enables MCP-compatible applications to execute CrowdStrike NGSIEM security event searches with query validation and schema discovery.

Enables ChatGPT to safely inspect bounded Windows diagnostic evidence and verify system changes through deterministic before/after snapshots.

Enables developers to register sync or async MCP tools that are automatically protected by context-budget guards, including DataFrame blockades, payload truncation, and log-line capping. Each invocation is wrapped with correlated trace IDs and fail-closed error envelopes, and the server can be mounted as an SSE endpoint inside a FastAPI application.

MCP server for RMS/Global Meteor Network stations. Enables remote inspection and management via SSH tunnels, with tools for status, detections, logs, config, and reprocessing under scoped access.

MCP servers for real-time development monitoring and interactive pair programming.

Read-only MCP server for querying Cloudera Manager metrics (CPU, memory, disk, health) for CDP Public Cloud DataHubs via natural language, using workload credentials and Knox.

Enables AI agents to perform root cause analysis on SAP systems by querying Azure Log Analytics data, offering schema discovery, validated KQL execution, result analysis, and automated 8-step RCA workflows.