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awesome-mcp-servers

Connector Development Solid
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Solid Scanned — metadata only

Centralizes discovery and integration of MCP servers, reducing engineering time spent evaluating fragmented tooling options and accelerating deployment of st…

TensorBlock's community-curated directory of MCP servers — currently indexing 7,747 unique server links across category docs — served as a hosted, searchable registry with a free public API and install-config previews. A discovery resource for finding MCP servers, not an MCP server you install.

813 starsMIT (commercial OK)FreeNo code needed

Centralizes discovery and integration of MCP servers, reducing engineering time spent evaluating fragmented tooling options and accelerating deployment of standardized AI-assisted development workflows across teams.

Development teams standardizing on MCP-based tooling and platform engineers building extensible AI development environments.

Claude Code Claude Cowork Claude Chat

https://github.com/TensorBlock/awesome-mcp-servers

By TensorBlock

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
None — discovery directory; browse the index at https://www.tensorblock.co/mcp or the repo's docs/*.md category files

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Help me find MCP servers that integrate with my existing development tools and workflows
CostFree

Trust Signals Auto-scanned

Stars813Contributors625Last updated2026-08-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 756 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 756 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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