Stop feeding context to your AI manually
We connect your tools to AI and keep it running — deployed on your infrastructure, maintained by us. No engineering effort required.
The Problem
Every tool has AI. None of them talk.
- Jira has AI. GitHub has AI. Slack has AI. None of them see each other's data.
- Your team is the integration layer — copying context between siloed assistants 350 times a day
- "Which PRs relate to this blocked ticket?" — no single AI in your stack can answer that
- The alternatives: send everything to someone's cloud, or spend months building it yourself
The Solution
One AI interface, configured for you
- Ask your AI about any tool — configured for your specific workflows
- All data stays on your servers — zero cloud relay
- Works with Claude, ChatGPT, Cursor, or any MCP client
- Deployed, configured, and maintained for you — no engineering effort
Built for Engineering Workflows
Common use cases teams unlock in the first week
Cross-Tool Status Reports
Pull PRs, tickets, and Slack discussions into one standup summary
PR ↔ Ticket Correlation
Instantly see which PRs relate to which Jira tickets
Onboarding Context
New engineers get answers about your codebase, processes, and tools from day one
Incident Response
Surface related alerts, recent deploys, and relevant Slack threads in seconds
Sprint Planning
Review velocity, open issues, and blockers across tools before planning
Knowledge Discovery
Find that Notion doc, Slack thread, or GitHub issue without remembering where it lives
See It in Action
Ask your AI assistant about any tool. Get answers instantly.
3 open P1 bugs assigned to Backend:
- AUTH-342 — Token refresh fails on expired sessions
- PAY-189 — Webhook retry loop on timeout
- API-567 — Rate limiter not resetting after window
Key discussions in #engineering (Jan 27–31):
- Migration to Go 1.23 completed — no issues reported
- New caching layer proposal shared by Alex, 12 replies
- Deployment pipeline flaky test resolved on Thursday
2 PRs awaiting review in payments:
- #421 — Add Stripe subscription webhooks (opened 2d ago)
- #418 — Fix currency rounding in invoices (opened 4d ago)
Found: "Engineering Onboarding Guide"
Last edited Dec 18 by Sarah. Located in Engineering > Processes.
Weekly standup summary (Feb 3–7):
- PRs: 4 open — #421 Stripe webhooks (2d), #418 invoice rounding (4d), #425 auth refactor (1d), #426 rate limiter fix (today)
- Blocked: AUTH-342 token refresh — waiting on infra team for Redis config
- Slack: Caching proposal gaining traction (12 replies), deployment pipeline fix confirmed Thursday
How It Works
Three steps to a unified AI interface
Audit
We map your tools, workflows, and access requirements. You tell us what your team needs — we figure out the wiring.
Deploy
A single Go binary deployed on YOUR infrastructure. No cloud relay, no third-party hosting, no Kubernetes required.
Maintain
APIs change. Tokens expire. We monitor everything and fix issues before your team notices.
Why Not Just…
The first question every CTO asks. Here's how the options compare.
Build It Yourself
- Full control over implementation
- Months of engineering time
- You maintain every API change
- Your team's time diverted from product
SaaS Platforms
- 500+ generic connectors
- None configured for your workflows
- Your data processed on their infrastructure
- Monthly per-seat fees
Needle
- Configured for your specific workflows
- Data stays on your servers
- Maintained by the person who built it
- Fixed monthly retainer
What You Get
The tools your team needs, configured by someone who understands your stack.
Configured for Your Stack
Not generic connectors. The tools your team actually uses — configured for your specific workflows, naming conventions, and team structure.
Self-Hosted MCP Server
Built on MCP — the open standard adopted by Claude, ChatGPT, and Cursor. A single Go binary on your infrastructure.
Any AI Provider
Claude, ChatGPT, Cursor — any MCP-compatible client. Switch providers without rebuilding.
Your Integrations
Jira, GitHub, Notion, Slack connected today. Any tool with an API added on demand.
Ongoing Maintenance
API changes, token refreshes, schema migrations. We handle it so you don't.
Direct Support
No support tickets. No account managers. You work directly with the person who built the system.
Your data never leaves your infrastructure
Self-hosted means your security review is straightforward: the server runs on your infrastructure, the data never leaves.
Transparent Pricing
No per-seat fees. No surprise charges. Scope-based pricing that scales with your needs.
- Tool audit & integration planning
- Custom MCP server development
- On-prem deployment & testing
- Team onboarding & documentation
Includes integrations, deployment, testing, and onboarding.
- 24/7 monitoring & alerting
- API change management
- New tool integrations
- Priority support & updates
Includes monitoring, API maintenance, updates, and direct support.
Month-to-month. No long-term contract.
If context switching costs your engineering team even 5 hours/week, that's $50K+/year in lost productivity. Needle pays for itself within months.
Built and operated by Vadim
10+ years in platform and infrastructure engineering. Previously building internal tools at the world's biggest classifieds site.
github.com/EnapiuzFrequently Asked Questions
Model Context Protocol is an open standard that lets AI models securely connect to your existing tools and data sources. Think of it as a universal adapter between AI and your business software — adopted by Claude, ChatGPT, Cursor, and 17,500+ servers. MCP is governed by the Linux Foundation with Google, Microsoft, AWS, and OpenAI as members.
Typically 2–4 weeks from kickoff to production, depending on the number of tool integrations and complexity of your infrastructure.
Your data never leaves your infrastructure. We deploy directly on your servers — no cloud relay, no third-party hosting. You maintain full control.
Any tool with an API: Jira, GitHub, Notion, Salesforce, Slack, Linear, Confluence, HubSpot, and custom internal tools. If it has an API, we can connect it.
Yes. MCP is provider-agnostic. Use Claude, ChatGPT, or any model — even self-hosted open-source models. Switch providers anytime without rebuilding integrations.
That's exactly what the monthly retainer covers. We monitor for breaking changes and update your integrations proactively — before they affect your team.
Month-to-month. You keep everything you got — the server, your integrations, all of it. You can continue running it yourself. We simply stop monitoring, updating, and supporting it.
Needle is a solo operation. I work with a small number of clients to ensure quality. Currently accepting new engagements.
Ready to stop copy-pasting context?
Get a unified AI interface for your team in weeks, not months.
Limited engagements — currently accepting new clients.