mcp_skill_provider
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp_skill_providersearch skills for load testing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp_skill_provider
MCP skill provider — search, retrieve, and execute commands for Harness Engineering skills.
mcp_skill_provider is a standalone MCP module registered with mcp_daemon_engine. It exposes three tools to agents:
search_skills(query, limit?)— lexical search over the skill catalogget_skill(name)— retrieve full skill instructions from Harness Engineeringrun_command(name, argv, workspace_scope?)— execute an allowlisted command for a skill
Installation
pip install -e .Related MCP server: Harness MCP Server
Configuration
Set the Harness Engineering GraphQL endpoint via environment variable:
HSK_GRAPHQL_ENDPOINT=http://localhost:8000/graphqlUsage with mcp_daemon_engine
Register the module through mcp_daemon_engine's loadMcpConfiguration mutation. mcp_configuration.py already declares the tools, modules, and module_links blocks the daemon needs — it points every tool at:
{
"module_name": "mcp_skill_provider",
"class_name": "mcp_skill_provider.mcp_skill_provider.MCPSkillProvider",
"package_name": "mcp_skill_provider",
"source": ""
}source: "" means the package must be importable from the daemon's sys.path (e.g. pip install -e .); it is not fetched from S3. Real GraphQL endpoint/credential values are supplied at registration time via loadMcpConfiguration's variables argument, which overrides the placeholder setting.graphql_modules values in the manifest.
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
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The governed runtime for agent skills. Search the catalog and inspect a skill before running it.
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