Mcp
Compare 48 tools connected to mcp from stored OpenTools matches, broader directory results, related news, and practical buying questions. Start with Mcptoon, Upwork MCP, MCP Inspector, and 2 more, then open the strongest profiles for pricing, reviews, and product context.
Tools for Mcp
48 directory matches, ranked by relevance and community signals.
Mcptoon - Token-Efficient MCP CLI for AI Agent Tools
Find freelance talent and manage Upwork projects from your AI assistant
MCP Inspector - Visual Testing Tool for MCP Servers
Runway: AI video generation, current plans and free credit limits
Build crypto‑savvy AI agents and automations in minutes—no code required.
Harness the power of automation with Apify's web scraping platform.
mcp-go - Go SDK for Model Context Protocol Apps and Tools
FastMCP - Build MCP Servers the Pythonic Way [2026]
Xverum MCP: People Search and Enrichment Server for Talent Sourcing
Equals: AI analytics built on auditable business workbooks
akta.pro - Private company data API for agent builders
BrowserOS neo - Local AI Browser for Claude and Codex
Gentle-AI - Structured ecosystem for coding agents
Monid - Runtime tool marketplace for autonomous agents
Pascal Editor - Open-source 3D design for AI agents
SolidCraft brings agent-friendly parametric CAD to Rust
AI-Infra-Guard - AI Red Teaming and MCP Security Scanner
Codex-X - Visual Codex CLI, Skills, and MCP Manager
dbx - AI Database Client with Built-In MCP Support
Resolve tickets faster with a 24/7 AI support agent powered by MCP.
Model Context Protocol Registry - Registry service for MCP servers
Connect Claude and other MCP clients to SearchAPI real-time web, travel, and data tools.
ToolPermit - Local Approval Firewall for MCP Tools
Topview AI: video agent pricing, credits, ads and MCP workflows
AI-powered Mail inside the broader Superhuman suite
agentmemory - Persistent Memory for AI Coding Agents
AgentScope - Observable Multi-Agent Framework for LLM Apps
ai-memory - Long-Term Memory for Agent Coding CLIs
LiteLLM: AI gateway, Python SDK and model-spend controls
Browser Harness gives AI agents a self-healing browser
BuilderStudio is a free native macOS agentic coding IDE for local-first app building, previews, and deployment handoff.
CC Switch - One App to Manage All AI Coding CLI Tools
Cherry Studio - Desktop AI Client for All LLMs [2026]
Claude Code Templates - 200+ Ready-to-Use Configs for Claude Code
code-review-graph - local-first code intelligence for reviews
Codex with ChatGPT - Web Planning for Codex Agents
Deep Agents - LangChain Agent Harness for Long-Run Work
DeepSeek Harness Desktop App - Local AI Desktop Workbench
DeskcommCRM - CRM & Sales Automation for AI teams for AI builders
Edi Life OS - Self-Hosted Agent Workspace for AI Builders
Gemini CLI - Open-Source Google AI Agent for Terminal
GEPA reflective AI prompt and code tuning framework
Run undetectable, isolated cloud browsers at scale for scraping, automation, and multi‑account work.
Halofy - Open Governance Layer for AI Agent Context
Hermes Agent persistent AI automation for builders
Hindsight: Agent Memory That Learns From Experience
Related News for Mcp
Recent coverage connected to this tool category and nearby AI workflows.
How to Choose an App Development Company in Sydney
If you are drawing up a shortlist of app development companies in Sydney, it is worth knowing where most of the shortlists you are reading actually came from. Search the term and the first page is largely made up of roundups published by development agencies about themselves and their peers, along with paid directory category pages. Both of those formats put the publisher's commercial interests ahead of yours, so the ordering you see is closer to advertising than it is to an assessment of who can actually build your product. That is not a reason to ignore those pages entirely, but it is a reason to do your own screening before you take a meeting.
How AI could make decentralized applications easier to use
Spend enough time in the crypto industry and one pattern begins to stand out. A user can make it through the first wallet connection, approve an initial transaction and still never return to the decentralized application. The problem isn't always a lack of interest. Sometimes, it’s the first few minutes that demand too much technical knowledge from someone who is still trying to understand what the application is asking them to do.
Hardware Requirements for Fine‑Tuning Open‑Source AI Models: Choosing the Right Computing Power
Open‑source models like Llama, Mistral, or Falcon have given developers incredible freedom. You no longer have to wait for access to someone else's API. You can take a pretrained model and fine‑tune it for your own tasks. But here comes the real challenge: fine‑tuning can require significant computing resources.
Team Takeoff in Electrical Estimating: Splitting the Work Without Splitting the Accuracy
What Shows Up in These Results
Common capabilities
- Lazy-loaded MCP server calls so unused tool schemas do not enter the model context
- Compact TOON and SLIM output modes that reduce tool-result tokens versus JSON
- Local tool registry that works across shell-capable agents without per-agent MCP config files
- Add servers from npm, pip, HTTP, and SSE endpoints with simple CLI commands
- Prompt-injection guardrails, credential leak detection, and dangerous-operation blocking
- Zero bundled MCP servers and zero runtime dependencies for a small auditable CLI
Frequent tags
Related categories
Buying Questions for Mcp Tools
How should I read the ranking?
Treat the order as a popularity signal, not a final verdict. Upvotes help surface tools people keep returning to, but your best pick still depends on workflow fit, data policy, team size, and whether the tool integrates with the systems you already use.
When is a specialist tool better?
Choose a specialist when the task has clear constraints: support deflection, code review, image generation, sales outreach, research citations, compliance, or a specific content format. General assistants are better when the work changes every day.
What should I verify before paying?
Check output quality on your own examples, pricing limits, export options, privacy terms, team permissions, and cancellation rules. If the tool is mission-critical, run a short trial against real work before moving a whole workflow onto it.