🧠 OSDR MCP Server + Agents

Created By
alwalta year ago
Overview

what is osdr_mcp_server?

osdr_mcp_server is a server application designed for managing and processing data in an automated manner.

how to use osdr_mcp_server?

To use osdr_mcp_server, clone the repository from GitHub, install the necessary dependencies, and run the server using the provided command line interface.

key features of osdr_mcp_server?

  • Automated data processing capabilities
  • Easy integration with other services
  • Configurable server settings for various use cases

use cases of osdr_mcp_server?

  1. Automating data collection from multiple sources.
  2. Processing and analyzing data in real-time.
  3. Integrating with other applications for seamless data flow.

FAQ from osdr_mcp_server?

  • What programming language is osdr_mcp_server written in?

osdr_mcp_server is written in Python.

  • Is there any documentation available?

Yes, documentation can be found in the GitHub repository.

  • How can I contribute to the project?

Contributions are welcome! Please check the contribution guidelines in the repository.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
alwalt
Star
0
Language
Python
License
-
Tags

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago