Daloopa, a specialist in AI‑ready financial data, announced on June 25, 2026 that its Model Context Protocol (MCP) now integrates directly with Microsoft 365 Copilot. The connector feeds structured, source‑verified company information into Word, Excel and PowerPoint, allowing analysts and investment teams to generate reports and models without leaving the familiar productivity tools.
A practical bridge between LLMs and market data
The partnership addresses a growing pain point for finance‑focused AI applications: the scarcity of trustworthy, granular data that large language models (LLMs) can safely reference. Daloopa’s platform, which tracks more than 5,500 publicly listed companies worldwide, attaches a permanent hyperlink to each data point, ensuring that any generated insight can be traced back to its original filing or press release.
By exposing this curated dataset through the MCP standard, Microsoft 365 Copilot can pull in up‑to‑date earnings figures, balance‑sheet items and other key metrics while preserving auditability. The result is a workflow where a user can ask Copilot to “draft a quarterly earnings summary for XYZ Corp” and receive a document populated with verified numbers, complete with source citations.
Why enterprises should care
Financial services firms are increasingly embedding generative AI into decision‑making pipelines, from hedge‑fund strategy formulation to routine compliance checks. In such contexts, data quality directly influences model reliability and regulatory risk. Daloopa’s integration promises to reduce the “data‑laundering” step that many firms currently perform—scraping the web, cleaning the output, and manually cross‑checking results.
For enterprise developers, the MCP connector offers a plug‑and‑play API that abstracts away the complexities of data ingestion. Because the protocol is LLM‑agnostic, the same endpoint can serve Microsoft’s Copilot, Anthropic’s Claude, OpenAI’s ChatGPT, or any future model that adheres to the MCP specification. This flexibility simplifies MLOps and future‑proofs investments in AI infrastructure.
Technical snapshot of the MCP connector
- Standardized interface – MCP defines a consistent request/response schema, allowing Copilot to retrieve data on demand without custom adapters.
- Source‑linked provenance – Every field returned includes a URL to the original filing, supporting audit trails and compliance reporting.
- Broad coverage – The dataset spans over 5,500 public companies, covering multiple jurisdictions and sectors.
- LLM‑agnostic design – While the current rollout targets Microsoft 365 Copilot, the same API can be consumed by Claude, ChatGPT and other models that implement MCP.
The connector builds on Daloopa’s earlier collaborations with OpenAI’s ChatGPT and Anthropic’s Claude, extending the company’s data‑delivery ecosystem across the leading generative AI platforms.
Market impact and competitive positioning
Daloopa’s move underscores a broader industry shift: AI vendors are no longer content with generic web‑scraped data. Companies such as Bloomberg, Refinitiv and FactSet have long offered enterprise‑grade market data, but their APIs are typically siloed. By exposing a unified, model‑ready feed through an open protocol, Daloopa positions itself as a data layer that can sit beneath multiple AI front‑ends, potentially becoming the de‑facto source for financial LLM applications.
Microsoft’s decision to integrate the connector into Copilot also signals confidence in third‑party data providers as critical differentiators for its AI suite. As enterprise customers demand tighter integration between productivity tools and domain‑specific intelligence, we can expect more partnerships that marry proprietary datasets with large‑scale generative models.
Industry context
The demand for “AI‑ready” data is accelerating across sectors, but finance remains one of the most regulated and data‑intensive domains. Recent guidance from the SEC and European regulators emphasizes transparency and traceability in algorithmic decision‑making. Daloopa’s source‑linked approach directly addresses these concerns, offering a compliance‑friendly alternative to black‑box data pipelines.
At the same time, the rise of “agentic” AI—software agents that can autonomously retrieve, analyze and act on information—requires robust back‑ends. By delivering structured financial facts through MCP, Daloopa helps power the next generation of autonomous trading bots, risk‑assessment agents and portfolio‑management assistants.
What’s next for developers and investors
For developers building on Microsoft 365 Copilot, the MCP connector reduces the need for custom ETL processes. A simple function call can retrieve the latest dividend yield, revenue growth or debt‑to‑equity ratio for any covered company, with the added benefit of citation metadata. This accelerates prototype development and shortens time‑to‑value for AI‑enhanced financial products.
Investors and fund managers stand to gain from faster, more accurate analysis. Instead of manually aggregating data from multiple filings, analysts can focus on interpretation and strategy, trusting that the underlying numbers are both current and verifiable.
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