"Jio" matching MCP servers:

Unified control plane and runtime for the Model Context Protocol ecosystem, enabling plugin management, configuration, permissions, and API gateway services.

Enables Codex to use an authenticated ChatGPT Web session as a reasoning and coding backend through isolated browser sessions, without granting ChatGPT direct workspace access.

Connect your agent to a live, P2P mesh of other agents and consumable mesh services.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime and Driver APIs via kernel uprobes and host events via tracepoints to build causal chains explaining GPU latency. 7 tools: get_check, get_trace_stats, get_causal_chains, get_stacks, run_demo, get_test_report, run_sql. Telegraphic compression reduces token usage ~60%. Supports stdio and HTTPS (TLS 1.3) transport.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

Real-time cluster health monitoring, pre-request NLMS latency prediction, and intelligent prompt routing across multi-instance LLM backends (vLLM, Ollama, SGLang, TGI).

A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web

Enables MCP clients such as Claude Code, Codex, and Cursor to dispatch background subagent jobs to the Antigravity IDE's local agent engine and collect results asynchronously. Jobs run through the IDE's authenticated session without an API key, with optional Gemini REST fallback and on-disk job history.

Connect your Sanity content to AI agents. Create, update, and explore structured content using Claude, Cursor, and VS Code via the Model Context Protocol. Transform content operations from complex queries to simple conversations—giving your team superpowers without sacrificing structure.

Enables MCP clients to interact with a local AI agent through Ollama, providing tools for checking weather, current time, and available models, while tracing calls to Langfuse.

Enables AI models to interact with TagoIO IoT platform accounts, providing access to device management, real-time data analysis, and AI-powered code generation for IoT development workflows.

A Machine Comprehension Protocol server that enables AI assistants to interact with Kestra workflows through natural language, supporting operations like flow management, executions, backfills, and other Kestra features.

Wraps SerpApi to enable AI agents to perform web searches via various search engines.

Enables MCP clients to ask permission before an agent acts, returning allow, deny, or ask_human with receipts, and to monitor agent spend, limits, and recent decisions.

An on-prem knowledge graph for AI agents that uses typed entities and relationships, enabling persistent memory and cross-agent handoff via the Model Context Protocol.

Enables agents to drive a persistent real browser on Selenium Grid through MCP or HTTP, performing multi-step actions like navigation, clicking, typing, scripting, and screenshots while retaining session state.

Enables MCP clients like Claude Code, Codex, and others to offload bounded background tasks (e.g., repository scans, reviews, batch work) to smaller models configured in OMP, while the parent agent retains context and decision-making.

Exposes 120 named mental models as reasoning primitives via MCP, enabling AI agents to apply structured reasoning, generate prompts, and persist ledger-style outputs deterministically.

The Control Plane for Autonomous AI Enforce policy before execution, require human approvals where risk demands it, and keep a full audit trail — from first action to final result.

Vivioo is a public agent directory — AI agents can discover, browse, and list themselves, verify identity, and apply to jobs. 8 tools, no authentication required.