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., "@Friday MCP Server search for recent breakthroughs in renewable energy"
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.
Successor MCP server for Friday, built on the same FastMCP pattern but organized as a standalone package with a self-extension workflow.
Core MCP server with FastMCP entrypoints and reusable registration modules.
Research tools for web search, URL fetch, and live world-news summaries.
Workspace tools for reading, writing, listing, and executing commands inside a configured workspace root.
Self-extension tools that let Friday validate, install, activate, deactivate, remove, and roll back skills.
Prompt and resource surfaces so clients can inspect the active skill catalog and get templates for researching or authoring new skills.
Related MCP server: local-skills-mcp
Skills are markdown documents with YAML front matter stored under skills/installed/.
They are data-driven prompt assets, not arbitrary Python plugins.
New skills can be created from generated markdown or downloaded from a URL.
Successful installs are activated automatically by default.
Reinstalling an existing skill creates a timestamped backup for rollback.
Each installed skill records provenance, compatibility, checksum, and activation state.
Example:
---
id: web-research
name: Web Research
version: 1.0.0
description: Gather and compare information from multiple current sources.
capabilities:
- search
- citation
min_server_version: 0.1.0
---
Use web search to gather multiple sources before drawing conclusions.
Prefer primary or official sources when possible.uv sync --extra dev
cp .env.example .env
uv run friday-mcp-serverBy default the server runs over stdio. To run over SSE instead:
FRIDAY_MCP_TRANSPORT=sse uv run friday-mcp-serverPoint a Friday MCP client at this server's transport:
stdio clients: invoke uv run friday-mcp-server
SSE clients: run with FRIDAY_MCP_TRANSPORT=sse and connect to /sse
The server exposes:
fetch_url, search_web, get_world_news
list_workspace, read_file, write_file, run_bash
list_skills, get_skill, validate_skill_markdown
install_skill_from_markdown, install_skill_from_url
activate_skill, deactivate_skill, remove_skill, rollback_skill
get_current_time, get_system_info, format_json, word_count
src/friday_mcp_server/
config.py
server.py
skill_store.py
prompts/
resources/
tools/
skills/
installed/
tests/uv run pytestActivate an installed skill.
Inputs: skill_id (required).
Deactivate an installed skill.
Inputs: skill_id (required).
Normalize skill validation failures for the client.
Inputs: error_text (required). Returns: result
Fetch the raw text of a URL, truncated to the configured limit.
Inputs: url (required). Returns: result
Pretty-print a JSON string.
Inputs: data (required). Returns: result
Return the current date and time in ISO 8601 format.
Inputs: no named parameters. Returns: result
Get the full installed content and metadata for a skill.
Inputs: skill_id (required).
Return basic information about the server host.
Inputs: no named parameters.
Fetch a multi-source snapshot of world headlines.
Inputs: no named parameters. Returns: result
Install a skill from markdown front matter and instructions.
Inputs: markdown (required), source, activate.
Download, validate, install, and optionally activate a skill from a URL.
Inputs: url (required), activate.
List installed skills and their activation state.
Inputs: active_only. Returns: result
List files and directories under the configured workspace root.
Inputs: path, max_depth. Returns: result
Read a file from the workspace with optional line slicing.
Inputs: path (required), start_line, end_line. Returns: result
Remove a skill and keep a rollback backup.
Inputs: skill_id (required).
Restore the latest or selected backup of a skill.
Inputs: skill_id (required), backup_file.
Run a bash command within the workspace root.
Inputs: command (required), timeout, working_dir.
Search the web with DuckDuckGo and return the top results.
Inputs: query (required), max_results. Returns: result
Validate a candidate skill document before installation.
Inputs: markdown (required).
Count characters, words, and lines in a block of text.
Inputs: text (required).
Write a file within the workspace.
Inputs: path (required), content (required), overwrite.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 21 tools
Tools are grouped into clear categories (skill management, workspace, utilities) with distinct purposes. Only minor potential overlap between search_web and get_world_news (both fetch external info) but descriptions differentiate them.
All tools follow a consistent verb_noun pattern with underscores, e.g., activate_skill, fetch_url, get_current_time. Verbs are descriptive and noun targets are clear, making the set predictable.
21 tools is slightly above typical range (3-15) but each tool serves a well-defined purpose and covers a broad domain (skills, workspace, utilities) without redundancy. Could be trimmed slightly but still reasonable.
The tool set covers essential skill lifecycle (install, activate, deactivate, remove, rollback) and workspace operations (read/write/list). Minor gaps like direct skill content update are missing, but rollback and reinstall compensate. Utility tools add breadth.
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