ContextOverflow
Describe what's going wrong with your AI; get the named technique both of you can read. No auth.
Open source Repository Open in the app JSON README (API)
About
Describe what's going wrong with your AI; get the named technique both of you can read. No auth.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- org.contextoverflow
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.0
- Open pull requests
- 1
- Last push
- 2026-08-10T19:43:13Z
- Repository state
- ativo
- Language
- TypeScript
- License
- NOASSERTION
- Added
- 2026-08-29 04:01:52
- Updated
- 2026-08-29 04:01:52
- Origin id
org.contextoverflow/library
README
# Context Overflow **Like Stack Overflow, but for context engineering — thinking techniques for humans and AI agents, from one corpus, through two doors.** Most guides teach you to write better prompts. Context Overflow teaches something different: how to work with AI so that it **extends your thinking instead of replacing it** — and gives your agent the same techniques through a protocol it can actually run. ## The two doors **For humans — [contextoverflow.org](https://contextoverflow.org).** A curated, categorized corpus of thinking techniques. No login, no feed. You arrive with a problem — the site opens with *"What's going wrong?"* — find the technique that fits, and learn to build it into a prompt yourself: worked, annotated examples, never copy-paste snippets. The research reference for what this counters: [contextoverflow.org/cognitive-debt](https://contextoverflow.org/cognitive-debt/). **For agents — MCP at `contextoverflow.org/mcp`.** The same corpus served over Streamable HTTP; free, keyless, stateless. Listed in the official MCP Registry as `org.contextoverflow/library`. Five tools: | Tool | What it does | |---|---| | `list_categories` | The major problem categories, as a human would say them | | `classify_intent` | Symptom description → matching techniques; genuinely ambiguous → one clarifying question, never a guess | | `find_technique` | Direct lookup by name | | `get_technique` | Mechanism, agent instructions, verification, failure modes | | `apply_technique` | The runnable scaffold + narration line + the check that proves it worked | Every response carries a **narration line**, so the agent's technique use surfaces in-conversation in the same vocabulary its human learned on the site. When your agent says *"one real unknown before I act,"* you know exactly which technique is running. Both sides of the pair get smarter; neither goes opaque. Setup for every client: [contextoverflow.org/connect](https://contextoverflow.org/connect/). ## The major problem categories we've found so far `lost-the-thread` · `doing-my-thinking` · `confidently-wrong` · `agrees-with-everything` · `stalls-instead-of-acting` · `bloated-answers` · `starting-blind` · `problem-too-big` · `faster-than-i-can-review` · `did-more-than-i-asked` · `dumber-after-the-update` Each named for the problem as you experience it — "My AI forgets everything between sessions," "It tells me I'm right even when I'm not." Every technique lives in exactly one, and answers it. ## What makes an entry Entries are grounded in real production use (generalized field notes) or published research (verified citations only — an unverifiable attribution doesn't ship). Every entry states its **mechanism**, its **verification check**, and its **failure modes** — if we can't tell you how to know it worked, it doesn't ship. The full contract: [`corpus/SCHEMA.md`](corpus/SCHEMA.md). ## Repository layout - `corpus/` — the techniques. The repo **is** the database; site and MCP are two views of it. - `site/` — the human door: Jekyll, generated from the corpus at build time. - `mcp/` — the agent door: a stateless TypeScript Cloudflare Worker, corpus compiled in, no LLM inside. - `validator/` — the gate both doors build behind: schema, section order, edge integrity, and a build-failing privacy blocklist. ## Contributing See [CONTRIBUTING.md](CONTRIBUTING.md). Short version: the front door is the [suggestion box](https://github.com/Onnson/context-overflow/discussions/categories/ideas) — propose techniques, vote on what gets built next; issues are open for evidence-based disagreement. Corpus and code PRs aren't accepted right now; every entry that ships passes the validator and carries real evidence. ## License - `corpus/` — [CC BY-NC-ND 4.0](corpus/LICENSE.md) - everything else — [Elastic License 2.0](LICENSE) **Why these licenses.** Context Overflow is free to read, learn from, and use — by people and by their AI. AI crawlers are welcome, and the corpus is served live to agents over MCP, because a shared vocabulary between a human and their assistant is the entire point. What the licenses reserve is *commercial repackaging*: the corpus may not be rebundled or sold as a competing product (NC-ND), and the code may not be offered as a hosted service (Elastic 2.0). Learn it, teach it to your agent, build it into your prompts — just don't repackage it.