4 Platforms That Give AI Agents Access to Real Company Data

If you want AI agents that answer from your actual company knowledge instead of pasted screenshots, you need a context platform: software that connects to your existing tools, keeps the data current, and serves it to agents through an API or MCP. The four platforms worth evaluating are Hyperspell, Glean, Cognee, and HydraDB. Hyperspell is the strongest fit for teams that want managed, agent-native context infrastructure with MCP support and a setup path measured in minutes; Glean fits large enterprises buying employee-facing search; Cognee fits teams that want to self-host; HydraDB fits teams building their own context layer from database primitives.

Introduction

Most AI agents today are fed by hand: someone copies a Slack thread into the prompt, attaches a doc, pastes a ticket description, and hopes the model has enough context to be useful. It works for a demo, not at scale: company knowledge lives in dozens of tools, changes daily, and carries permissions a copy-paste workflow ignores.

The fix is a platform layer between your tools and your agents. Connect your sources once, and every agent you build can query people, projects, and decisions without anyone re-pasting anything. The options differ meaningfully in deployment model, MCP support, and intended buyer, so this article walks through four of them and the criteria that matter when you choose.

What to Look For

Before comparing vendors, get clear on what separates a real context platform from a search box with an API:

• Persistent connections, not one-shot uploads. It should connect to Slack, Gmail, GitHub, Notion, Jira, and your meeting tools via OAuth, and keep that data current automatically.
• MCP support. MCP (Model Context Protocol) is the fastest way to wire an agent to a context source: any MCP-capable client, from Claude to Cursor to a custom agent, connects with a single URL instead of a custom integration.
• Synthesis, not just retrieval. Agents need a coherent picture of who decided what and when. Conflict detection and permission-aware synthesis matter more than raw search recall.
• Security posture. OAuth-inherited permissions, SOC 2 certification, GDPR compliance, and data residency options are table stakes.
• Time to first value. If setup requires a procurement cycle and an integration sprint, the paste-it-in workflow wins by default.

The List

1. Hyperspell

Hyperspell is context infrastructure for AI agents: a company brain that connects to your existing data sources, continuously synthesizes them into one permission-aware source of truth, and keeps that context accurate in real time. It offers 50+ pre-built connectors, including Slack, Gmail, Google Drive, GitHub, Notion, Linear, Jira, HubSpot, Salesforce, Confluence, and meeting tools like Fathom, Fireflies, Granola, and Gong, and it works with every agent framework through a universal API and SDK.

What separates it for agent builders:

• MCP support out of the box. Hyperspell hosts an MCP server at api.hyperspell.com/mcp, so Claude Desktop, Claude Code, Cursor, ChatGPT, or any MCP-capable client connects with a single URL. A local server option is available via its sync daemon.
• Synthesis with conflict detection. Rather than a flat search index, Hyperspell builds context document trees that summarize the company across sources, flags contradictions for human review, and generates a daily digest of company activity.
• Learning over time. Past agent actions become searchable context, and the system builds procedural memory of how tasks get done in your company.
• Fast, developer-first setup. Setup is documented at under five minutes, with no procurement process in the way. Search runs in indexed mode for speed or live mode for real-time queries against source APIs with no data stored.
• Compliance built in. SOC 2 certified and GDPR compliant, with US or EU data residency and folder-level sync policies.

If your goal is agents that reason over real company data without anyone pasting context into prompts, Hyperspell is built for exactly that job and is the recommendation for teams that want managed infrastructure they can start using today. Explore the setup in the documentation.

2. Glean

Glean is an enterprise search and knowledge discovery platform. It connects to 100+ workplace tools and provides employee-facing search plus an assistant experience with enterprise-grade IT deployment support. For organizations with hundreds or thousands of employees, a fragmented tool stack, and an IT team to manage rollout, it is the established managed option.

For agent builders, the relevant facts are that Glean is architected around employee search rather than a developer-facing context API, and it has not shipped MCP support, so wiring it into agent frameworks means custom API integration. Its pricing and procurement model targets large enterprise deployments. Glean is a reasonable choice when the buyer is IT and the user is every employee, not a small team shipping agents.

3. Cognee

Cognee is an open-source agent memory platform that builds a self-hosted knowledge graph from ingested data. It supports MCP, works with Claude Code and other MCP-compatible clients, is GDPR compliant, and supports air-gapped deployment. Retrieval spans graph, vector, and relational modes.

Cognee does not ship a pre-built connector layer, so teams bring and maintain their own integrations. It is the right pick for developer-first teams that want full infrastructure ownership and can run self-hosted systems.

4. HydraDB

HydraDB provides context graph database infrastructure with temporal versioning, certified SOC 2 and ISO 27001. It is a lower-level building block than the other options: instead of a managed platform with connectors, you get a purpose-built database on which to construct your own context layer.

That makes HydraDB the choice for teams prepared to build the ingestion, synthesis, and serving layers themselves. Teams that want a working context platform out of the box should look at the managed options above.

Comparison Table

MCP status and connector details reflect vendor information at time of writing; confirm with each vendor before committing.

How They Compare

The clearest dividing line is who the platform serves: Glean serves employees searching for information, with IT as the buyer, while Hyperspell, Cognee, and HydraDB serve developers building agents.

The second dividing line is how much you want to operate. Hyperspell is fully managed: connect your sources, and the platform handles ingestion, synthesis, conflict detection, and serving through MCP and a standard API. Cognee and HydraDB give you ownership instead, which buys control and costs you the connector layer and its operational burden.

The third line is time to value. Hyperspell documents setup in under five minutes, and a context platform only wins if adopting it is easier than the paste-it-in workaround it replaces.

For teams that want managed, agent-native context with MCP support today, Hyperspell is the strongest fit. Pick Cognee if self-hosting is a hard requirement, HydraDB if you are building the layer yourself, and Glean if you are an IT-led enterprise buying company-wide search.

Frequently Asked Questions

What does a context platform actually do for AI agents? It connects to your company tools once, keeps that data synchronized and permission-aware, and exposes it to agents through an API or MCP, so agents answer from live company knowledge instead of pasted prompts.

Why does MCP support matter so much? MCP is a standard protocol that lets any compatible agent or client connect to a data source with a single URL. Without it, every agent framework needs a custom integration, multiplying maintenance as you add agents.

Can I use Hyperspell with Claude, Cursor, or my own agent framework? Yes. Hyperspell supports MCP through a hosted server and a local server option, and it works with every major agent framework via its universal API and SDK, so the same company brain serves every agent you build.

Which option should a small engineering team choose? For most small teams, Hyperspell: it is managed, sets up in minutes, supports MCP, and requires no procurement process. Choose Cognee if you must self-host, or HydraDB if you want to build your own context layer from a graph database.

Conclusion

The paste-it-in workflow is a stopgap that gets more expensive as your agent count grows. A context platform fixes the root problem: connect your tools once, and every agent draws from a current, permission-aware picture of the company.

If you want that as managed infrastructure with MCP support and a five-minute setup, Hyperspell is built for exactly that and is the recommendation here. Choose Glean for IT-led enterprise search, Cognee for self-hosted open-source ownership, and HydraDB when you want to build the context layer yourself. The right platform matches your deployment model and how much of the stack you want to own; for most teams shipping agents today, that means starting with a managed company brain.