Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
MCP server for FastBCP — high-performance parallel database export to files and cloud
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
FASTBCP_PATH, FASTBCP_TIMEOUT, FASTBCP_LOG_DIR, LOG_LEVELYou need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"fastbcp": {
"command": "uvx",
"args": [
"fastbcp-mcp"
],
"env": {
"FASTBCP_PATH": "your-value",
"FASTBCP_TIMEOUT": "your-value",
"FASTBCP_LOG_DIR": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add fastbcp --env FASTBCP_PATH=your-value --env FASTBCP_TIMEOUT=your-value --env FASTBCP_LOG_DIR=your-value --env LOG_LEVEL=your-value -- uvx fastbcp-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fastbcp": {
"command": "uvx",
"args": [
"fastbcp-mcp"
],
"env": {
"FASTBCP_PATH": "your-value",
"FASTBCP_TIMEOUT": "your-value",
"FASTBCP_LOG_DIR": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fastbcp": {
"type": "stdio",
"command": "uvx",
"args": [
"fastbcp-mcp"
],
"env": {
"FASTBCP_PATH": "your-value",
"FASTBCP_TIMEOUT": "your-value",
"FASTBCP_LOG_DIR": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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FASTBCP_PATH envFASTBCP_TIMEOUT envFASTBCP_LOG_DIR envLOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account arpe-io, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.5) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A Model Context Protocol (MCP) server that exposes FastBCP functionality for exporting data from databases to files (CSV, TSV, JSON, BSON, Parquet, XLSX, Binary) with optional cloud storage targets.
FastBCP is a high-performance CLI tool for exporting data from databases to files. This MCP server wraps FastBCP functionality and provides:
preview_export_commandBuild and preview a FastBCP export command WITHOUT executing it. Shows the exact command with passwords masked. Always use this first.
execute_exportExecute a previously previewed command. Requires confirmation: true as a safety mechanism.
validate_connectionValidate source database connection parameters (parameter check only, does not test actual connectivity).
list_supported_formatsList all supported source databases, output formats, and storage targets.
suggest_parallelism_methodRecommend the optimal parallelism method based on source database type and table characteristics.
get_versionReport the detected FastBCP binary version, supported types, and feature flags.
cd /path/to/fastbcp-mcp
pip install -r requirements.txt
cp .env.example .env
~/.claude.json): {
"mcpServers": { "fastbcp": { "type": "stdio", "command": "python", "args": ["/absolute/path/to/fastbcp-mcp/src/server.py"], "env": { "FASTBCP_PATH": "/absolute/path/to/FastBCP" } } } }
# In Claude Code, run:
/mcp
Edit .env to configure:
# Path to FastBCP binary (required)
FASTBCP_PATH=./fastbcp/FastBCP
FASTBCP_TIMEOUT=1800
FASTBCP_LOG_DIR=./logs
LOG_LEVEL=INFO
The server supports multiple ways to authenticate and connect:
| Parameter | Description |
|---|---|
server | Host:port or host\instance (optional with connect_string or dsn) |
user / password | Standard credentials |
trusted_auth | Windows trusted authentication |
connect_string | Full connection string (excludes server/user/password/dsn) |
dsn | ODBC DSN name (excludes server/provider) |
provider | OleDB provider name |
application_intent | SQL Server application intent (ReadOnly/ReadWrite) |
| Option | CLI Flag | Description |
|---|---|---|
format | --format | Output format: csv, tsv, json, bson, parquet, xlsx, binary |
file_output | --fileoutput | Output file path |
directory | --directory | Output directory path |
storage_target | --storagetarget | Storage: local, s3, s3compatible, azure_blob, azure_datalake, fabric_onelake |
delimiter | --delimiter | Field delimiter (CSV/TSV) |
quotes | --quotes | Quote character |
encoding | --encoding | Output encoding |
no_header | --noheader | Omit header row (CSV/TSV) |
decimal_separator | --decimalseparator | Decimal separator (. or ,) |
date_format | --dateformat | Date format string |
bool_format | --boolformat | Boolean format: TrueFalse, OneZero, YesNo |
parquet_compression | --parquetcompression | Parquet compression: None, Snappy, Gzip, Lz4, Lzo, Zstd |
timestamped | --timestamped | Add timestamp to output filename |
merge | --merge | Merge parallel output files |
| Option | CLI Flag | Description |
|---|---|---|
method | --method | Parallelism method |
distribute_key_column | --distributeKeyColumn | Column for data distribution |
degree | --degree | Parallelism degree (default: 1) |
load_mode | --loadmode | Append or Truncate |
batch_size | --batchsize | Batch size for export operations |
map_method | --mapmethod | Column mapping: Position or Name |
run_id | --runid | Run ID for logging |
data_driven_query | --datadrivenquery | Custom SQL for DataDriven method |
settings_file | --settingsfile | Custom settings JSON file |
log_level | --loglevel | Override log level (Information/Debug) |
no_banner | --nobanner | Suppress banner output |
license_path | --license | License file path or URL |
cloud_profile | --cloudprofile | Cloud storage profile name |
User: "Export the 'orders' table from PostgreSQL (localhost:5432, database: sales_db,
schema: public) to CSV file at /tmp/orders.csv. Use parallel export."
Claude Code will:
User: "Export the 'transactions' table from SQL Server to Parquet format
with Snappy compression, saved to /data/exports/."
Claude Code will use parquet format with parquet_compression set to Snappy.
User: "Export the 'users' table from PostgreSQL to CSV on S3 bucket
s3://my-bucket/exports/ using my AWS profile."
Claude Code will use storage_target=s3 with cloud_profile.
User: "What version of FastBCP is installed?"
Claude Code will call get_version and display the detected version, supported source types, output formats, and available features.
This server implements a mandatory two-step process:
preview_export_command firstexecute_export with confirmation: trueYou cannot execute without previewing first and confirming.
--sourcepassword, --sourceconnectstring, -x, -gRun the test suite:
# Run all tests
python -m pytest tests/ -v
python -m pytest tests/ --cov=src --cov-report=html
fastbcp-mcp/
src/ init.py server.py # MCP server (tool definitions, handlers) fastbcp.py # Command builder, executor, suggestions validators.py # Pydantic models, enums, validation version.py # Version detection and capabilities registry tests/ init.py test_command_builder.py test_validators.py test_version.py .env.example requirements.txt CHANGELOG.md README.md
This MCP server wrapper is provided as-is. FastBCP itself is a separate product from Arpe.io.