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A high-performance, asynchronous MCP server for Firecrawl Search, featuring connection pooling, request retries, and intelligent input parsing.

Project description

Firecrawl Toolkit

Turn web pages and PDFs into local, searchable Markdown for agents.

Firecrawl Toolkit is a CLI-first web capture tool built on top of the Firecrawl API. It is designed for shell-based agents such as Codex, Claude Code, OpenCode, and other local automation workflows.

Instead of dumping long web pages into model context, the CLI saves the page as a local Markdown file and prints only a minimal success/failure signal to stdout.

firecrawl scrape --url "https://example.com/article" --output article --path ./Temp-Scrape
# true

Then let your agent inspect the file with normal local tools:

rg -n "pricing|risk|governance|download|PDF" ./Temp-Scrape
bat --paging=never --line-range 40:120 ./Temp-Scrape/article.md

Scrape once. Search locally. Keep context clean.


Why this toolkit exists

Most web-search or scrape tools treat the web page as immediate model input. That works for short pages, but it breaks down quickly with long reports, news articles, PDFs, documentation pages, and research material.

This toolkit uses a different workflow:

remote URL / PDF
→ local Markdown file
→ rg / bat / sed / awk / local file tools
→ agent reads only the relevant sections

This is especially useful when an agent needs to collect multiple sources, compare reports, inspect citations, or build a local research folder.

The goal is not to produce a perfectly clean article-only extraction. The goal is to produce complete, searchable, agent-readable local source material with reduced web noise and minimal context pollution.


Core workflow

1. Scrape a web page or PDF into local Markdown

firecrawl scrape \
  --url "https://example.com/report-or-article" \
  --output report \
  --path ./Temp-Scrape

On success:

true

The file is saved as:

./Temp-Scrape/report.md

The generated Markdown begins with source metadata:

## title:
## description:
## url:
## language:
## creditsUsed:

---

markdown content

2. Search locally

rg -n "agentic|governance|pricing|risk|EBIT|download" ./Temp-Scrape

3. Read only the relevant section

bat --paging=never --line-range 80:150 ./Temp-Scrape/report.md

Or with standard Unix tools:

sed -n '80,150p' ./Temp-Scrape/report.md

Why stdout is intentionally small

For file-producing commands such as scrape, stdout is deliberately minimal.

On success:

true

On failure:

false
<short error reason>

Large page content is written to disk, not printed to stdout by default. This is intentional: agents should not accidentally ingest a 50k, 100k, or 500k character page into context.

The recommended pattern is:

scrape to file
→ inspect file size / headings / keywords
→ read only the useful ranges

Built-in boilerplate filtering

The scrape command applies a built-in noise filter by default.

It reduces common non-content regions such as:

  • scripts, styles, forms, inputs, buttons
  • nav bars, headers, footers, asides
  • menus and navigation blocks
  • logos and brand blocks
  • accessibility skip links and visually hidden elements
  • ads and advertisement containers
  • sidebars
  • breadcrumbs and pagination
  • related, recommended, and trending sections
  • common layout offset/module blocks

This is not meant to aggressively delete every non-article element. The priority is high recall with reduced noise: keep the source material useful for local search while removing obvious boilerplate.

If a page contains useful content in an unusual region, you can disable the built-in filter:

firecrawl scrape \
  --url "https://example.com/page" \
  --output page-raw \
  --empty-tags

You can also add your own exclusions:

firecrawl scrape \
  --url "https://example.com/page" \
  --output page \
  --exclude-tags ".newsletter,.promo,aside.related"

Installation

Python package

The Python package provides the MCP server.

uvx firecrawl-toolkit

Package:

firecrawl-toolkit

Go CLI

The standalone CLI is located in the cli directory.

Build from source:

cd cli
go test ./...
go build -o firecrawl .

Run:

./firecrawl --help

Build Windows example:

cd cli
go build -o firecrawl.exe .

API key

The Go CLI reads the Firecrawl API key from:

FIRECRAWL_KEY

Linux/macOS:

export FIRECRAWL_KEY="fc-..."

Windows PowerShell:

$env:FIRECRAWL_KEY="fc-..."

The Python MCP server uses:

FIRECRAWL_API_KEY

CLI commands

firecrawl aggregated
firecrawl web
firecrawl news
firecrawl image
firecrawl scrape
firecrawl credit-usage

Scrape command

Basic usage

firecrawl scrape \
  --url "https://example.com/article" \
  --output article

This writes:

article.md

Save into a directory

firecrawl scrape \
  --url "https://example.com/article" \
  --output article \
  --path ./Temp-Scrape

This writes:

./Temp-Scrape/article.md

If the directory does not exist, the CLI tries to create it.

Scrape a PDF

firecrawl scrape \
  --url "https://example.com/report.pdf" \
  --output report-pdf \
  --path ./Temp-Scrape

The CLI requests Markdown output and enables Firecrawl’s PDF parser.


Scrape options

--output

Required. Export name.

firecrawl scrape --url "https://example.com" --output example

The CLI writes:

example.md

If the provided name already ends with .md, it is preserved.

--path

Optional. Output directory.

firecrawl scrape --url "https://example.com" --output example --path ./exports

--url

Required. Target web page or PDF URL.

firecrawl scrape --url "https://example.com" --output example

--include-tags

Optional. CSS selectors to include.

Use this when you know the useful content is inside a specific region:

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --include-tags "article"

Multiple selectors:

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --include-tags ".article-body,#content,main"

JSON array form is recommended when selectors contain spaces, quotes, or commas:

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --include-tags '["main article",".post-content","#content"]'

--exclude-tags

Optional. Additional CSS selectors to exclude.

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --exclude-tags ".nav,.footer,#sidebar"

This is merged with the built-in boilerplate filter.

--empty-tags

Optional. Disable the built-in exclude selector list for this request.

firecrawl scrape \
  --url "https://example.com" \
  --output page-raw \
  --empty-tags

User-provided --exclude-tags are still applied:

firecrawl scrape \
  --url "https://example.com" \
  --output page-custom \
  --empty-tags \
  --exclude-tags ".nav"

--headers

Optional. JSON object of request headers.

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --headers '{"X-Trace-Id":"abc123"}'

Use sensitive headers carefully. Avoid passing credentials, cookies, or authorization tokens unless you understand the risk.

--timeout

Optional. Request timeout in seconds. Default is 120.

firecrawl scrape \
  --url "https://example.com" \
  --output page \
  --timeout 180

--start-index and --max-characters

Optional. These slice the Markdown locally after the scrape result is returned.

firecrawl scrape \
  --url "https://example.com" \
  --output preview \
  --start-index 0 \
  --max-characters 2000

For the recommended agent workflow, prefer saving the full Markdown file and using local tools such as rg, bat, sed, or head to inspect it. These options are mainly useful for previews or special cases.


Recommended agent usage

Give your agent a narrow workflow instead of exposing every scrape option.

Default capture

firecrawl scrape --url "$URL" --output "$NAME" --path ./Temp-Scrape

Inspect the captured source

rg -n "$KEYWORDS" ./Temp-Scrape
bat --paging=never --line-range 1:120 "./Temp-Scrape/$NAME.md"

If the page is noisy

Try adding exclusions:

firecrawl scrape \
  --url "$URL" \
  --output "$NAME-clean" \
  --path ./Temp-Scrape \
  --exclude-tags ".newsletter,.promo,aside.related"

If the built-in filter removes something useful

Capture a raw version:

firecrawl scrape \
  --url "$URL" \
  --output "$NAME-raw" \
  --path ./Temp-Scrape \
  --empty-tags

Search commands

Search commands return compact single-line JSON.

firecrawl aggregated --query "AI governance 2026" --country US --search-num 10
firecrawl web        --query "AI governance 2026" --country US --search-num 10
firecrawl news       --query "OpenAI news" --search-time week
firecrawl image      --query "firecrawl logo" --search-num 10

Available search commands:

aggregated  web + news + images
web         web results
news        news results
image       image results

Search options

--query

Required. Search keywords.

firecrawl web --query "AI pricing SaaS"

--country

Optional. Country or region name / ISO code. Default is US.

firecrawl web --query "AI policy" --country "United States"
firecrawl web --query "AI policy" --country US

--search-num

Optional. Number of results, from 1 to 100. Default is 20.

firecrawl web --query "AI policy" --search-num 5

--search-time

Optional. Time filter.

Allowed values:

hour
day
week
month
year

Example:

firecrawl news --query "AI regulation" --search-time week

--timeout

Optional. Request timeout in seconds. Default is 120.


Search output

Search commands output compact JSON:

{"success":true,"data":{"web":[],"news":[],"images":[]},"creditsUsed":1}

Mapped fields:

data.web[]:
  title
  description
  url

data.news[]:
  title
  snippet
  url
  date

data.images[]:
  title
  imageUrl
  url

Search results are intended to help agents discover URLs. For detailed reading, scrape selected URLs into local Markdown files.

Recommended pattern:

firecrawl web --query "AI trust maturity survey 2026" --search-num 5
firecrawl scrape --url "<selected-url>" --output ai-trust-survey --path ./Temp-Scrape
rg -n "governance|risk|agentic|maturity" ./Temp-Scrape

Credit usage

Check Firecrawl team credit usage:

firecrawl credit-usage

Pretty-print:

firecrawl credit-usage --pretty

Default output is JSON:

{"success":true,"data":{"remainingCredits":1000,"planCredits":500000,"billingPeriodStart":"2025-01-01T00:00:00Z","billingPeriodEnd":"2025-01-31T23:59:59Z"}}

Exit behavior

Scrape

Success:

true

Failure:

false
<error reason>

The CLI writes the Markdown file only after a successful scrape. Existing files are not created or overwritten on scrape failure.

Search and credit usage

Search and credit usage commands output JSON.


Example: local research folder

mkdir -p ./Temp-Scrape

firecrawl scrape \
  --url "https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-forward/state-of-ai-trust-in-2026-shifting-to-the-agentic-era" \
  --output mckinsey-ai-trust-2026 \
  --path ./Temp-Scrape

firecrawl scrape \
  --url "https://www.reuters.com/business/world-at-work/ai-will-lead-labour-shortages-jeff-bezos-says-vivatech-2026-06-17/" \
  --output reuters-bezos-ai-labor \
  --path ./Temp-Scrape

rg -n "agentic|governance|risk|labor shortage|AI" ./Temp-Scrape
bat --paging=never --line-range 1:120 ./Temp-Scrape/mckinsey-ai-trust-2026.md

This creates a local source folder that can be searched and revisited without repeatedly fetching or pasting web pages into context.


Python MCP server

The project also includes a Python MCP server.

Run with:

uvx firecrawl-toolkit

Example MCP client configuration:

{
  "mcpServers": {
    "firecrawl": {
      "command": "uvx",
      "args": ["firecrawl-toolkit"],
      "env": {
        "FIRECRAWL_API_KEY": "<Your Firecrawl API key>",
        "FIRECRAWL_MCP_ENABLE_STDIO": "1"
      }
    }
  }
}

MCP environment variables:

Variable Default Description
FIRECRAWL_API_KEY fc-xxx Firecrawl API key. Multiple keys can be separated by commas.
FIRECRAWL_HTTP2 0 Enable HTTP/2 with 1.
FIRECRAWL_MAX_WORKERS 10 Number of worker processes.
FIRECRAWL_MAX_CONNECTIONS 200 Maximum HTTP connections.
FIRECRAWL_MAX_CONCURRENT_REQUESTS 200 Maximum concurrent requests.
FIRECRAWL_KEEPALIVE 20 Maximum keepalive connections.
FIRECRAWL_RETRY_COUNT 3 Maximum retry count.
FIRECRAWL_RETRY_BASE_DELAY 0.5 Base retry delay in seconds.
FIRECRAWL_ENDPOINT_CONCURRENCY {"search":10,"scrape":2} Per-endpoint concurrency limits.
FIRECRAWL_ENDPOINT_RETRYABLE {"scrape": false} Per-endpoint retry configuration.
FIRECRAWL_MCP_ENABLE_STDIO 0 Enable STDIO transport.
FIRECRAWL_MCP_ENABLE_HTTP 0 Enable HTTP transport.
FIRECRAWL_MCP_ENABLE_SSE 0 Enable SSE transport.
FIRECRAWL_MCP_HTTP_HOST 127.0.0.1 HTTP host.
FIRECRAWL_MCP_HTTP_PORT 7001 HTTP port.
FIRECRAWL_MCP_SSE_HOST 127.0.0.1 SSE host.
FIRECRAWL_MCP_SSE_PORT 7001 SSE port.
FIRECRAWL_MCP_LOCK_FILE /tmp/firecrawl_mcp.lock Lock file path.

STDIO, HTTP, and SSE should be used one at a time. Start separate services with different lock files if multiple transports are needed.


MCP tools

The MCP server provides:

Tool Description
firecrawl-aggregated-search Aggregated web, news, and image search.
firecrawl-web-search Web search.
firecrawl-news-search News search.
firecrawl-image-search Image search.
firecrawl-scrape Scrape a URL and return mapped Markdown content.

For local shell-based agents, the Go CLI is usually the simpler and safer interface because it writes large scrape results to files instead of returning them directly to model context.


Development

Run Go CLI tests:

cd cli
go test ./...

Build the CLI:

cd cli
go build -o firecrawl .

Run Python tests:

pytest

License

This project is licensed under the GNU General Public License v3.0 or later.

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