Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-server-jl","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Joblogic MCP Server This project implements an MCP (Model Context Protocol) server using stdio transport for communication. It provides tools for test case generation and formatting, along with other utilities for Joblogic documentation and API specifications. ## Installation You can install the package directly from PyPI: ```bash pip install mcp-server-jl ``` Or install it from the source code: ```bash pip install . ``` ## Usage ### Command Line After installation, you can run the MCP server directly from the command line: ```bash mcp-server-jl ``` ### As a Python Package ```python from mcp_server_jl.server import mcp, run_server import anyio # Add your custom tools @mcp.tool() def my_custom_tool(): # Your code here pass # Run the server if __name__ == "__main__": anyio.run(run_server) ``` ## Available Tools ### Generate Test Cases Generates test cases from a markdown specification: ```python result = await mcp.generate_testcases_for_content_spec(markdown_content, spec_file_path) ``` ### Format Test Cases Format and clean test case files: ```python result = await mcp.format_all_testcases(input_folder, output_folder) ``` ### Convert to Markdown Convert a resource to markdown: ```python markdown = await mcp.convert_to_markdown(uri) ``` ## Docker You can also run the server using Docker: ```bash docker build -t mcp-local/joblogic . docker run -it mcp-local/joblogic ``` ## License This project is licensed under the MIT License - see the LICENSE file for details.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.