Lunora
anolilab/lunora
Routes general Lunora requests to the right Lunora skill and gives the shared mental model (codegen loop, generated api/internal references, review commands, add-on capabilities, the @lunora/mcp…
GFS MCP Server for AI agent integration. An agent skill from Guepard-Corp/gfs.
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Guepard-Corp/gfs use-gfs-mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/use-gfs-mcp .claude/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .claude/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Guepard-Corp/gfs use-gfs-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/use-gfs-mcp .agents/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .agents/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Guepard-Corp/gfs use-gfs-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/use-gfs-mcp .cursor/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .cursor/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Guepard-Corp/gfs.git --path skills/use-gfs-mcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Guepard-Corp/gfs use-gfs-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/use-gfs-mcp .gemini/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .gemini/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Guepard-Corp/gfs use-gfs-mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/use-gfs-mcp .github/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .github/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Guepard-Corp/gfs use-gfs-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Guepard-Corp/gfs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/use-gfs-mcp .opencode/skills/use-gfs-mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "use-gfs-mcp" agent skill from https://github.com/Guepard-Corp/gfs/tree/main/skills/use-gfs-mcp into .opencode/skills/use-gfs-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "use-gfs-mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
use-gfs-mcpGFS MCP Server for AI agent integration. An agent skill from Guepard-Corp/gfs.
Use Gfs MCP is an agent skill from Guepard-Corp/gfs. GFS MCP Server for AI agent integration. Provides Model Context Protocol tools for database version control with automatic schema versioning.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers and Git workflow. It works with Model Context Protocol, MySQL, PostgreSQL and ClickHouse. The repository describes itself as: Git For database Systems. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e51fc61. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Use Gfs MCP loads about 4k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 1,933 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Guepard-Corp/gfs at commit e51fc61, republished under its MIT licence (© Guepard-Corp). 1,933 words, ~3,980 tokens.
.claude/skills/use-gfs-mcp/SKILL.md (or your agent's skills folder).GFS provides an MCP (Model Context Protocol) server for AI agent integration, enabling programmatic access to database version control operations including commits, branches, time travel, and schema versioning.
With SQLite, init, commit, log, status, checkout, extract_schema,
show_schema, diff_schema, export_database, import_database and query
all work with no container runtime running. compute and user do not apply:
there is no server to start and no roles to manage.
The MCP server requires the GFS CLI to be installed on the host system.
Add GFS to your MCP client configuration (e.g., Claude Desktop, custom MCP client). The MCP server runs as: gfs mcp
Configuration requires:
gfs binary["mcp"]GFS_REPO_PATH environment variableThe server starts automatically when configured in your MCP client. It provides access to all GFS operations through MCP tools.
The MCP server exposes 14 tools for database version control operations. All tools accept an optional path parameter to specify repository location.
Use the status tool to check repository state, current branch, HEAD commit, and database container status.
GFS supports Git-style revision notation in all tools that accept commit references (checkout, show_schema, diff_schema, log):
HEAD - Current commitmain - Branch tip (any branch name)abc123def456... - Full commit hash (64 characters)Reference ancestor commits using ~ notation:
HEAD~1 - Parent of HEAD (previous commit)HEAD~5 - 5th ancestor of HEADmain~3 - 3 commits before main branch tipabc123~2 - 2nd parent of commit abc123HEAD~ - Same as HEAD~1 (defaults to 1)// Checkout previous commit
checkout({ revision: "HEAD~1" })
// Compare schema with 5 commits ago
diff_schema({ commit1: "HEAD~5", commit2: "HEAD" })
// View schema from 3 commits back
show_schema({ commit: "main~3" })
// Show ancestor schema
show_schema({ commit: "abc123def456...~2" })
// View log from ancestor to current
log({ from: "HEAD~10", until: "HEAD" })CRITICAL: Always use the commit tool before database mutations. This enables rollback if issues occur.
Commits automatically capture database schema at commit time, providing complete versioning of both data and structure.
Tool: list_providers
Lists all supported database providers, versions, and available features. No parameters required.
Returns: Array of providers with supported versions and feature lists.
Tool: init
Creates a new GFS repository with specified database provider and version.
Parameters:
database_provider (required) - Provider name (postgres, mysql)database_version (required) - Version string (e.g., "17", "8.0")path (optional) - Repository locationReturns: Repository path and initialization status.
Tool: status
Gets repository and database container status including current branch, HEAD commit, and connection information.
Parameters:
path (optional) - Repository locationReturns: current_branch, head_commit (absent before the first commit),
active_workspace_data_dir, and compute when a container is configured. For
SQLite, connection_string is a sqlite: URL to the file in the active
workspace and there is no compute section.
gfs status reports the same fields from the same source, so the CLI and this
tool cannot disagree.
Tool: commit
Creates snapshot of database state, automatically capturing schema at commit time.
Parameters:
message (required) - Commit messagepath (optional) - Repository locationauthor (optional) - Author nameauthor_email (optional) - Author emailReturns: Commit hash.
Automatic Schema Versioning: Every commit captures database schema including structured metadata and native DDL.
Tool: log
Views commit history with optional filtering.
Parameters:
path (optional) - Repository locationmax_count (optional) - Limit number of commitsfrom (optional) - Starting revisionuntil (optional) - Ending revisionReturns: Array of commits with metadata, timestamps, authors, and references.
Tool: checkout
Switches to existing branch, specific commit, or creates new branch.
Parameters:
revision (required) - Branch name or commit hashpath (optional) - Repository locationcreate_branch (optional) - Name of a new branch to create and switch to. A
string, not a boolean: create_branch: true is rejected with
invalid type: boolean, expected a stringReturns: Success status and checked out revision.
Tip: For branch listing and creation without switching, use the CLI with --json:
# List branches programmatically
gfs branch
# Create branch from checkpoint without switching
gfs branch release/v1.0 <commit_hash>
# Delete a branch
gfs branch -d old-featureTool: compute
Manages database container lifecycle.
Parameters:
action (required) - Operation: status, start, stop, restart, pause, unpause, logspath (optional) - Repository locationlogs_tail (optional, logs only) - Number of lines to showlogs_since (optional, logs only) - Timestamp filterReturns: Status information or log output based on action.
Actions:
Tool: query
Executes SQL queries against the database or returns connection information.
Parameters:
query (optional) - SQL query to execute (omit for connection info)path (optional) - Repository locationdatabase (optional) - Override database name. Not accepted for SQLite: the
file is the database, so there is nothing to select, and passing it is an
error rather than a silently ignored argument.Returns: Query results or connection information if no query provided. For
SQLite the connection information is a sqlite: URL to the file in the active
workspace, with no host or port.
This tool runs the database's own client on the host — psql, mysql,
sqlite3 — so that binary must be installed. Nothing else in this list needs
it: GFS reads SQLite through a linked engine.
Tool: extract_schema
Extracts schema from running database, returning structured metadata.
Parameters:
path (optional) - Repository locationReturns: Complete schema metadata including schemas, tables, columns, constraints, and relationships as structured JSON.
Use case: Understand current database structure before making changes or writing queries.
Tool: show_schema
Views database schema as it existed at any commit in history.
Parameters:
commit (required) - Commit hash or reference (HEAD, main, branch name)path (optional) - Repository locationmetadata_only (optional) - Return only JSON metadataddl_only (optional) - Return only SQL DDLReturns: Schema object with hash, metadata, and/or DDL based on flags.
Output includes:
Use case: View schema at any point in history, document database structure, audit schema changes.
Tool: diff_schema
Tracks schema evolution by comparing schemas between two commits.
Parameters:
commit1 (required) - First commit hash or referencecommit2 (required) - Second commit hash or referencepath (optional) - Repository locationBoth commit1 and commit2 accept rev~n notation for ancestor references (e.g., HEAD~5, main~3).
Returns: Schema comparison with hashes, table/column count changes, and difference summary.
Comparison includes:
Use case: Review schema changes before merging branches, track schema evolution, identify breaking changes.
Tool: export_database
Exports database data to file.
Parameters:
format (required) - Export format (sql, custom)path (optional) - Repository locationoutput_dir (optional) - Output directory pathReturns: Export file path and status.
Supported formats:
Tool: import_database
Imports data from file into database.
Parameters:
file (required) - Path to import filepath (optional) - Repository locationformat (optional) - Data format (sql, csv, json, custom)Returns: Import status.
Supported formats: SQL, CSV, JSON, custom (database-specific formats).
Track schema changes alongside code changes for complete version control.
Workflow:
status to verify repository and container stateshow_schema to view current schema structurecheckout with create_branch: "<name>" to create a feature branchquery toolcommit to capture changes (schema automatically versioned)diff_schema to compare with main branchMonitor how database schema changes over time.
Workflow:
log to view commit historyshow_schema on different commits to see schema at each pointdiff_schema to compare schemas across time periodsRestore database to earlier state when issues occur.
Workflow:
log to find target commitshow_schema to verify schema at that commitcheckout to switch to specific commitstatus to verify statequery to validate datacheckout with create_branch: "<name>" if state is correctPlan database migrations by comparing schemas.
Workflow:
show_schema on production commitshow_schema on feature branchdiff_schema to identify all schema changesGenerate documentation from schema history.
Workflow:
log to get list of releases or major versionsshow_schema with metadata_only for each versiondiff_schema between versions to identify breaking changesUse compute with action status to check container state. If stopped, use action start to start container. Use action logs to view error messages if container fails to start.
Use status tool to get connection information. Ensure container is running via compute status. Verify ports are available (PostgreSQL: 5432, MySQL: 3306).
Ensure path parameter points to directory with .gfs folder, or set GFS_REPO_PATH environment variable in MCP server configuration.
If show_schema returns error about missing schema, the commit was created before schema versioning was enabled. Use extract_schema to capture current schema, then create new commit.
Check that GFS CLI is installed on the MCP server host. For a container-backed provider, verify the container runtime is running; SQLite needs none. Review the error message in the tool response — the tools name the actual problem.
--jsonWhen MCP tools are unavailable or you need operations not yet exposed as MCP tools (e.g., branch management, graph log), use the GFS CLI with --json for structured output:
# Structured commit output
gfs --json commit -m "checkpoint before migration"
# → {"hash":"b57732d8...","branch":"main","message":"checkpoint before migration"}
# Structured checkout output
gfs --json checkout -b feature/migration
# → {"hash":"b57732d8...","branch":"feature/migration","new_branch":true}
# Repository status (JSON)
gfs --json status
# Branch listing (JSON)
gfs --json branch
# Branch topology graph
gfs log --graph --allExit codes for conditional logic:
gfs status → 0 (compute running, or an embedded provider with no compute at
all) or 1 (a container-backed provider whose compute is down)gfs schema diff → 0 (no changes), 1 (changes), 2 (breaking)compute has nothing to start--json for CLI fallback - When MCP tools aren't available, CLI with --json gives structured outputGFS_REPO_PATH - Default repository path for MCP serverpath parameter omittedEvery commit operation automatically:
show_schemaSchema storage:
Schema metadata includes:
Schema DDL includes:
© Guepard-Corp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/use-gfs-mcp of Guepard-Corp/gfs.
Open the folder on GitHubat commit e51fc61
Use Gfs MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Use Gfs MCP this skillGuepard-Corp/gfs | 158 | — | ~4k | Automated safety check: Pass | MIT | |
| Lunoraanolilab/lunora | 284 | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Semantic Analystsidequery/sidemantic | 129 | — | ~982 | Automated safety check: Pass | AGPL-3.0 | |
| Debug Failed Runactivepieces/activepieces | 25k | — | ~3.7k | Automated safety check: Warn | Custom licence | |
| Aurora Dsqlaws/agent-toolkit-for-aws | 2.8k | — | ~9.6k | Automated safety check: Pass | Apache-2.0 | |
| Database Rds Devopsaws/tools-for-devops-agent | 103 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 |
anolilab/lunora
Routes general Lunora requests to the right Lunora skill and gives the shared mental model (codegen loop, generated api/internal references, review commands, add-on capabilities, the @lunora/mcp…
sidequery/sidemantic
Answer analytical, KPI, metric, trend, cohort, and business-performance questions through a Sidemantic semantic layer.
activepieces/activepieces
Debug a failed Activepieces flow run end-to-end: given a flow run id (or BullMQ job id), find why it failed, cross-referencing the live BullMQ job + Postgres rows (SSH script on the DevOps box), the…
aws/agent-toolkit-for-aws
Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless…
aws/tools-for-devops-agent
Database-level data-plane diagnostics for Aurora MySQL and Aurora PostgreSQL.
TencentCloudBase/CloudBase-AI-Toolkit
[Deprecated] This is the required documentation for agents operating on the CloudBase Relational Database through MCP.
Categories
GFS MCP Server for AI agent integration. An agent skill from Guepard-Corp/gfs. Use Gfs MCP is an agent skill from Guepard-Corp/gfs. GFS MCP Server for AI agent integration.
Use Gfs MCP fits situations like: tasks that involve MCP servers; tasks that involve Git workflow.
Run `npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a claude-code`. Or copy the skill folder (skills/use-gfs-mcp in Guepard-Corp/gfs) into .claude/skills/use-gfs-mcp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a codex`. Or copy the skill folder (skills/use-gfs-mcp in Guepard-Corp/gfs) into .agents/skills/use-gfs-mcp in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Guepard-Corp/gfs --skill use-gfs-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/use-gfs-mcp, .gemini/skills/use-gfs-mcp, .github/skills/use-gfs-mcp and .opencode/skills/use-gfs-mcp in your project.
SKILL.md names no scripts, command-line tools or credentials: Use Gfs MCP is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Use Gfs MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Use Gfs MCP: Lunora (anolilab/lunora, 284 stars), Semantic Analyst (sidequery/sidemantic, 129 stars), Debug Failed Run (activepieces/activepieces, 25k stars) and Aurora Dsql (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Guepard-Corp (a GitHub organization) maintains it in Guepard-Corp/gfs, which has 158 GitHub stars. The repository was last updated on October 8, 2026.
Source: Guepard-Corp/gfs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.