About Powersearch MCP
Powersearch MCP is an MCP server published by theobjectivedad in the Developer Tools category: powerSearch MCP helps AI agents search and retrieve content from the public web with fewer broken fetches and clean, AI-friendly outputs ready to cite.
The repository has 2 stars and 0 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/theobjectivedad/powersearch-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
PowerSearch MCP
PowerSearch MCP helps AI agents search and retrieve content from the public web with fewer broken fetches and clean, AI-friendly outputs ready to cite.
TL;DR
Step 1: Clone the repository then run initialize the virtual environment:
git clone https://github.com/theobjectivedad/powersearch-mcp.git
Step 2: Initialize the virtual environment:
cd powersearch-mcp
make init
Step 3: Activate the virtual environment:
source .venv/bin/activate
Step 4: Create a .env file with your desired configuration, use example-configs/example.env as a starting point.
cp example-configs/example.env .env
Step 5: (Optional) run a local instance of SearXNG:
docker run -d \
--name searxng-local \
--pull=always \
--restart unless-stopped \
-p 127.0.0.1:9876:8080 \
--tmpfs /etc/searxng:rw,noexec,nosuid,size=16m \
--tmpfs /tmp:rw,noexec,nosuid,size=512m \
--cap-drop=ALL \
--security-opt=no-new-privileges:true \
--health-cmd='python3 -c "import urllib.request; urllib.request.urlopen(\"http://127.0.0.1:8080/\", timeout=3).read(1)"' \
--health-interval=10s \
--health-timeout=3s \
--health-retries=10 \
--health-start-period=15s \
--env SEARXNG_SETTINGS_PATH=/settings.yml \
--volume "$(pwd)/searxng.yaml:/settings.yml:ro" \
searxng/searxng
Step 6: Run PowerSearch via FastMCP:
fastmcp run \
src/powersearch_mcp/app.py \
--transport=streamable-http \
--skip-source \
--skip-env
Step 7: Point your AI agent at http://localhost:8099/mcp to start searching the web!
Feature Roadmap
- ✅ SearXNG-backed meta search with configurable engines, language, safe-search, and pagination
- ✅ Strong anti-bot fetching implementation via Scrapling and Camoufox
- ✅ Search response caching at the tool-level to memory, disk, and Redis storage backends
- ✅ Automatic retries with exponential backoff for both search and fetch operations
- ✅ AI Agent-friendly responses: HTML pages are converted to markdown automatically via Trafilatura
- ✅ Support for STDIO and streaming HTTP transports
- ✅ Health check endpoint for HTTP transport
- ✅ Extensive configuration suitable for many deployment scenarios
- ✅ Authentication support for both JWT and opaque tokens
- ✅ Authorization support for embedded Eunomia policies
- ✅ Auto summarization of search results via MCP sampling
- ✅ Optional server-side fallback for clients that don't support MCP sampling
- ✅ Public Docker image on Docker Hub
- 🗓️ (Future) Client selectable synchronous (current behavior) or asynchronous SEP-1686 execution for search / fetch tools
- 🗓️ (Future) Prometheus metrics exporter
- 🗓️ (Future) Helm chart
README fetched from the repository 5 days ago. The original is authoritative.