About
An MCP server that fetches, caches, and embeds your Substack and Medium posts, enabling Claude to perform semantic searches and provide contextual insights on your published essays.
Capabilities
Overview
The Writer Context Tool is an MCP server that bridges Claude with the author’s existing body of work on Substack and Medium. By harvesting posts through each platform’s RSS feed, the server builds a local, immutable cache of essays and generates dense embeddings for every article. This enables Claude to perform rapid semantic searches across a writer’s own content, allowing the assistant to reference specific passages, suggest thematic continuations, or surface related ideas that align with the author’s voice and intent. For developers, this means a turnkey way to enrich Claude’s contextual awareness without exposing private content to external services.
What Problem Does It Solve?
Many writers rely on Claude for drafting, editing, or ideation but struggle to keep the assistant informed about their unique style and previously published material. Traditional prompt engineering requires manually pasting excerpts or summarizing key points, which is time‑consuming and error‑prone. The Writer Context Tool automates this process by creating a searchable knowledge base of the author’s own posts. Consequently, Claude can reference exact sentences or paragraphs from past work instantly, ensuring consistency in tone and avoiding repetitive content.
Key Features & Capabilities
- Permanent Caching: Once fetched, blog posts are stored locally and refreshed only on a configurable schedule, reducing API calls and ensuring fast access.
- Embedding‑Based Retrieval: Each essay is converted into a high‑dimensional vector, enabling semantic similarity queries that return the most relevant posts to a user’s prompt.
- Resource Exposure: Every cached essay is exposed as an individual MCP resource, allowing Claude to retrieve the full text on demand.
- Batch Preloading: At startup the server pre‑generates embeddings for all cached content, so searches are instantaneous during user sessions.
- Configurable Limits: Developers can set how many posts to fetch per platform, the cache duration, and the number of similar posts returned in a search.
Use Cases & Real‑World Scenarios
- Drafting Continuations: A writer can ask Claude to continue a story, and the assistant will pull in relevant past narratives to maintain continuity.
- Thematic Analysis: Claude can identify recurring motifs across a Medium series, helping the author refine their brand voice.
- Content Repurposing: By surfacing related posts, the tool assists in generating newsletters or blog series that build on previous topics.
- Research Aid: Writers can query their own work for specific data points or quotes, streamlining the research phase of new articles.
Integration with AI Workflows
Developers embed this MCP server into Claude Desktop by adding a simple configuration entry that points to the executable. Once running, the server automatically registers its resources and tools with Claude’s MCP interface. In a conversation, the assistant can call the search tool to retrieve relevant essays, or directly fetch a specific post as a resource. Because the server operates locally and caches data permanently, latency is minimal, making real‑time interactions smooth even for large archives.
Unique Advantages
- Privacy‑First: All content stays on the developer’s machine; no external API calls are made beyond initial RSS fetches.
- Zero‑Code Prompt Engineering: The semantic search abstracts away the need for manual summarization or snippet selection.
- Extensibility: The same architecture can be adapted to other blogging platforms or content repositories with minimal changes.
- Developer Friendly: The server exposes a clean MCP interface, allowing other tools or custom agents to tap into the writer’s corpus seamlessly.
In summary, the Writer Context Tool turns a writer’s own Substack and Medium archives into an intelligent, searchable knowledge base that Claude can consult instantly. This enhances the assistant’s relevance, preserves authorial voice, and streamlines content creation workflows for developers building AI‑powered writing solutions.
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