Sociality.io Releases MCP Server for Claude: Live Social Media Intelligence via OAuth
Sociality.io released a social media MCP server that connects Claude to live social media analytics — no more pasting screenshots or CSV exports. The server works as a remote HTTP MCP server with OAuth authentication, supporting Claude, ChatGPT, Claude Code, Codex, Gemini CLI, and other MCP-compatible clients.
What It Can Do
- Check active workspace and available accounts
- See which channels and metrics are supported
- Add selected competitor profiles to the workspace
- Pull owned account stats and published posts
- Pull competitor stats and published posts
- Compare formats, topics, posting cadence, and engagement patterns
- Find overperforming content
- Turn research into campaign ideas or reporting notes
Practical Workflow
The developers recommend a specific order of operations: Claude first checks workspace context, credit usage, available tools, supported platforms, metric names, and aggregation behavior before pulling data. This avoids guesswork and manual prep.
Example prompt from the source:
"Here are 2 competitor profiles. Add the relevant ones to our workspace, then compare their last 30 days of posts with our owned accounts. Group posts by topic and format, ignore one-off spikes, and tell us what patterns are worth testing next week."
Running this prompt produced a clear analysis with test suggestions directly in chat (see screenshots in the source).
Platforms & Actions
- Covers Instagram, TikTok, Facebook, YouTube, X, and LinkedIn
- Competitor tools: list, analyze, and fetch posts
- Write action for adding tracked competitors from profile URL
- Built-in resources/prompts for workspace checks, tool usage, metric selection, credit usage, and readiness checks before larger workflows
Who It's For
Developers and social media teams who want to query live competitor and owned account data directly from chat, without manual exports or context loss.
📖 Read the full source: r/ClaudeAI
👀 See Also
Ctxpact: Context Compaction Proxy for Local LLMs
Ctxpact is an OpenAI-compatible proxy that compresses oversized inputs for local LLMs with 16k context windows, using a 3-stage pipeline that includes DCP, summarization, and extraction strategies. Benchmarks show 110k tokens compressed to 12k with 8/8 reading comprehension accuracy.
Open Source Knowledge Base Server and Multi-Agent Orchestrator for Persistent AI Memory
A developer built a custom MCP server on a private VPS to give Claude, Codex, and Gemini persistent memory across sessions, with a knowledge base server that ingests Obsidian vaults and a multi-agent orchestrator called Daniel for failover.
Google PM Open-Sources Always On Memory Agent with SQLite Storage, No Vector DB
Google senior AI product manager Shubham Saboo has open-sourced an Always On Memory Agent that stores structured memories in SQLite instead of using vector databases, running on Gemini 3.1 Flash-Lite with scheduled memory consolidation every 30 minutes.
Culpa: Open Source Deterministic Replay Engine for AI Agent Debugging
Culpa is an open source tool that records LLM agent sessions with full execution context, enabling deterministic replay using recorded responses as stubs instead of hitting real APIs. It works with Anthropic and OpenAI APIs via proxy mode or Python SDK.