Registry Review MCP Server

# Gaia AI & Regen Network Development Meeting ## Opening Connections The meeting opened with the informal warmth of colleagues gathering across distances—Shawn connecting from his car, navigating the transition from travel to presence. The usual assembly of AI note-takers bore witness alongside the human participants, a modern testament to the documentation needs of distributed teams building complex systems. The week had treated Shawn well, offering him the gift of singular focus—a rare commodity in the multifaceted world of building regenerative technology infrastructure. Dave's week had been punctuated by the arrival of colleagues working on a Regen agricultural finance initiative, visitors who disrupted his regular rhythm for a day and a half but brought the excitement of witnessing "big things" taking shape. The interruption left him feeling slightly behind on his regular responsibilities, though he maintained philosophical equilibrium about it all. When asked to define his "regular stuff," Dave painted a picture of organizational omnipresence—touching every part of the company, maintaining momentum across partnerships, marketing, sales, production, and engineering. He described supporting Samu's work and the registry team's efforts, while also training a new executive assistant for himself and Gregory. The portrait was one of distributed attention and sustained coordination across multiple streams of work. Darren joined the call, and the team turned toward the substantive work ahead, navigating the challenge of bringing Dave up to speed after his absence from Tuesday's conversations. ## Catching Up: The Zach Session The team hadn't connected with Sam this week beyond a call with Zach that Dave had missed. Shawn clarified the timeline—it had been Wednesday when he, Sam, Greg, and Zach had gathered for what proved to be a highly fruitful advisory session with Zach. The session had operated on multiple levels. Zach had shared high-level strategic considerations to keep in mind, but then delivered something remarkably concrete: a framework template he uses in Notion for story mapping. This wasn't abstract guidance but a practical tool, a structure Zach had passed directly to Shawn for application to the registry assistant agent. The framework offered a methodical approach to breaking down complexity. It began with gathering all user stories, then decomposed those into discrete user activities. These activities could then be distributed across planned releases—typically three or four sequential deployments. By moving each user task through this structure, the framework enabled clear scoping of an MVP while planning subsequent releases. Shawn had already begun mapping the work through this lens and planned to walk the team through his progress on Tuesday. Dave requested that Shawn share the template in Slack if it hadn't been posted already. Shawn confirmed he could do so—Zach had sent him an image rather than a full template due to time constraints, but Shawn had successfully translated that into a usable template format. ## Registry Assistant Development With context established, the meeting shifted to updates on parallel workstreams. Shawn and Darren were working on distinct but related efforts: Shawn on the registry assistant itself, Darren on the supporting infrastructure. ### Building the Assistant Architecture Shawn felt confident about his trajectory in assembling the registry assistant. The architecture consisted of two primary components: an MCP (Model Context Protocol) server handling the heavy computational lifting, and a lightweight agent profile providing contextual framing for the agent utilizing the MCP. His primary interface design centered on the Eliza web UI. The vision was straightforward: Becca would log into this interface and interact with a dedicated assistant agent. However, the design preserved flexibility—since the core functionality resided in the MCP, that component could be extracted and plugged into any agentic environment. The pre-built agent was simply a facilitation layer, a convenient implementation rather than a constraint. Dave sought clarification, acknowledging his relative naivety about the technical landscape. He referenced ChatGPT's recent prompts to connect with services like Figma, assuming these were MCP integrations alongside other popular third-party software connections. Were they using a similar functional approach? Where would such an integration point? Shawn confirmed the exact parallel. The MCP would be a program running on a server, functioning essentially as an API. On the same server hosting their agents, they would deploy the MCP. Users in ChatGPT would simply enter configuration details—primarily a URL pointing to the MCP—and the integration would be established. ### The Desktop Constraint Question This raised an important practical consideration: why build out a dedicated agent interface instead of simply directing users to drop the MCP into ChatGPT? Shawn had attempted exactly that approach during testing, only to encounter a roadblock. The system had informed him that only ChatGPT desktop could connect to MCPs—a limitation he hadn't anticipated. Dave thought he had seen such functionality in the web interface, using a browser rather than downloading an application. The discrepancy was curious. Shawn couldn't speak to the nuanced details, as his testing had explicitly required the desktop client. He solicited input from Darren and Samu, hoping they might have insights. The team considered whether there might be pre-built functions or plugins available in the web interface that weren't strictly MCPs. Dave wondered if there was a conceptual difference between MCPs and "custom tools" that could operate in the web context. Looking at the interface, he couldn't locate an option for connecting to an MCP directly—only references to "tools." For the immediate term, using Eliza seemed perfectly viable. Dave was primarily thinking about accessibility and transferability—ensuring that as their broader team centered work around Claude or GPT, the setup would be transferable for teammates less immersed in Eliza's ecosystem. The current approach was fine for development purposes. Shawn described his development workflow: he first tested the MCP in Claude Code, establishing that functionality before migrating to Eliza. This provided valuable cross-compatibility validation. He agreed that identifying a third, more universally accessible space—particularly if they could enable direct ChatGPT web integration—would open significant doors for team adoption. Dave suggested adding that accessibility exploration to the backlog, a next-phase consideration once core functionality was solid. ### Timeline and Testing Turning to timelines, Dave asked when they might approach beta testing, and whether Shawn had already begun coordination with Becca. Shawn hedged slightly on "beta"—perhaps "alpha" was more accurate. He had hoped to present something functional to Becca this week but didn't feel the work had reached that threshold. Early next week seemed more realistic. By Tuesday, he would have the story map ready for team review. Ideally, by that same Tuesday, he could extend an invitation to Becca to begin testing. That was his target. Dave expressed enthusiasm for the timeline. The pace felt substantial and achievable. ## Infrastructure Development Darren took the floor to provide his update on the infrastructure work supporting these agent systems. ### Authentication and Access Control His primary focus had been establishing authentication for the MCP servers, work that was still ongoing in coordination with Greg to configure appropriate permissions. Part of this effort involved securing API access to Google projects. Greg had created what Darren referred to as a "Koi sensor"—essentially a Google project providing API access to read from Google Drives. The goal was establishing a data flow into their processing pipeline, making that information available to Becca and other users through the agents. The architecture envisioned an "internal mode" where accessing private or internal data via the agents or MCP would require authentication through a Regen email address. This gating mechanism would protect sensitive organizational information while maintaining utility. Darren was actively working through the permissions setup with Greg, navigating the technical details of that access control system. ### The Software Engineer Agent Beyond authentication, Darren was developing what he described as a software engineer agent—more precisely, an extension to the Koi knowledge MCP. The motivation was clear: they hadn't yet indexed all the actual code residing in GitHub repositories, having focused initially on metadata. This extension would address that gap. The vision was creating a helpful engineering tool, enabling developers to query about code and documentation, receiving informed responses grounded in the actual codebase. It would serve as an accessible knowledge interface for technical team members. ### Accessibility Beyond the Core Team Dave paused Darren to explore a critical question: How easily accessible would this tool be as a builder resource beyond their core engineering team? What level of engagement was envisioned? Who was the actual target audience? With a relatively limited internal developer team, Regen was simultaneously trying to stimulate other ecosystem actors to engage and build. Would this tool serve them effectively? Was there a pathway to making it extensible to the broader community? Darren acknowledged he had been thinking primarily about the Regen team's software engineers. But Dave's question reframed the scope—what about project developers in the Regen ecosystem? People like Giancarlo, SylvieTrees, and other community members building on the platform. Dave offered a concrete example: the folks at C Trees, who were essentially using the ledger with their own front-end interface. They were eager to work on the testnet and would benefit from accessible development tools. If the team could serve people already savvy and connected, simply needing easier entry points to engage—that would represent significant ecosystem value. ### Public Access and Ecosystem Growth Darren noted an important technical detail: all the GitHub repositories he had examined were public, not private. This eliminated risk and opened possibilities—they could make this a public tool that partners and potential collaborators could access directly, lowering barriers to ecosystem participation. Dave thought aloud about the opportunity, careful to frame his musings as curiosity rather than scope expansion. He acknowledged this wasn't the immediate priority but represented important strategic thinking. How could they stimulate ecosystem building? If developers were building at the ledger level, what gating mechanisms might work? Perhaps not email authentication but something more aligned with their infrastructure—wallet requirements, for instance. His interest centered on the meta-question: as they built genuinely useful tools, how could they facilitate the activities that would serve as meaningful measures of ecosystem growth? Tools should lower barriers while still requiring some engagement with core Regen infrastructure. Darren connected to the concept quickly. They were planning to gate access to private content through Regen email authentication. A parallel approach could work for broader ecosystem tools: free tier access with enhanced features requiring Regen wallet connection or similar qualifying actions. This would create natural pathways from tool usage to deeper ecosystem participation. Dave affirmed this thinking. They were making investments through Gaia's work to build valuable infrastructure. Even low barriers that required meaningful actions—actions that facilitated larger engagements with the stack, with wallets, with the Regen token—represented strategic value. He wanted that consideration woven into the architectural thinking, even if implementation remained a phase-two priority. First priority: build tools that work. Then optimize for ecosystem growth. ### Additional Infrastructure Work Darren outlined the remainder of his plate. He had reached out to Max—involved with the Regen tokenomics website project that Mark was working on—because he had attempted to programmatically scrape that site and found it difficult. Discovering it was built on Notion, he realized direct API access would be far more elegant. More broadly, Darren identified a significant opportunity: establishing automated workflows for transcript capture from all their calls. Rather than manual extraction and movement, they could create a database that the system could query directly. This would save enormous time and friction. Dave expressed strong enthusiasm for this possibility, noting his dissatisfaction with Otter.ai's native AI capabilities. He had been pulling transcripts into GPT for analysis. If they could establish an API from Otter with appropriate permissions, flowing directly into a database accessible to their agent infrastructure, that would represent a major workflow improvement. The team had a mountain of conversational data—between Samu, Gregory, Tika, and Giselle, the volume was substantial. Dave acknowledged uncertainty about optimal methods for discerning valuable information from that corpus, but saw potential for training systems to understand patterns: sentiments, needs, common requests, particularly from client interactions. Building personas and need-mapping for product development, derived automatically from conversational data rather than manual synthesis—this represented significant potential value. He was open to hearing how difficult such integration would be and whether it could be incorporated into their knowledge base infrastructure. ### The Zoom Advantage Darren saw clear pathways forward. With Zoom, they had a particular advantage: automatic transcription with diarization (speaker separation). The platform handled this well, cleanly distinguishing between speakers in the transcript. Workflow automation was straightforward. Tools like Zapier could auto-route transcripts to destinations—Notion, Google Drive, or other repositories. Crucially, they could route different meetings to different folders, enabling organizational logic aligned with content sensitivity or project association. Once transcripts landed in an accessible folder, the processing pipeline could pull them for indexing. This wasn't a heavy lift; it represented genuine potential for workflow transformation. Dave appreciated the vision but remained uncertain about prioritization and ownership. He was happy to either chase down implementation details or treat this as backlog—an upgrade opportunity for the knowledge base that agents could draw upon. For now, capturing the concept in their notes seemed sufficient, ensuring the team could return to it when capacity and priority aligned. Darren confirmed he had no additional infrastructure updates to share. ## Leveraging Zach's Expertise Dave shifted to a broader strategic question: how to optimally utilize Zach's involvement. He wanted to ensure it didn't become excessive workload for the team while remaining valuable for Gaia generally. Zach represented a genuinely exceptional mind, and the project merited his continued engagement. If there were ways the team felt they could productively tap into Zach's thinking—whether every other week, monthly, or some other cadence—Dave encouraged that consideration. He noted that Zach had been learning from their work as well, observing their approaches and gaining his own insights. The relationship appeared genuinely symbiotic. Shawn affirmed the consistent value of engaging with Zach. Every conversation yielded learning and useful perspectives. He felt there was likely a sweet spot for frequency—probably every other week or monthly, somewhere in that range. Weekly might be excessive, but regular touchpoints would maintain momentum and relationship depth. Darren agreed with that assessment. Dave offered to own the coordination, discussing internally with Gregory and Zach to establish a sustainable rhythm. Since Gaia was covering Zach's consulting engagement, Dave was happy to frame it as a contribution to their shared project. To the extent it helped the Gaia team think in upgraded ways across all their work generally, it represented well-deployed resources. ## Marketing and Communications Turning to Samu, Dave acknowledged his own failure to maintain attention on the marketing workstream and invited updates on what was moving in that arena. ### The Regen Digest Podcast Samu reported progress on multiple fronts. They had launched the Regen Digest weekly podcast, with the second edition going live the previous day. This connected directly to Darren's observations about transcript automation—with proper infrastructure, podcast generation could become nearly push-button, dramatically reducing production friction. The episodes were sounding genuinely good. Dave asked about distribution channels. Were they still navigating licensing issues, or should they be pushing episodes across social media? The content was definitely ready for newsletters and social channels. Samu needed to complete the submission process for podcast platforms—Spotify was awaiting approval, and he still needed to work through Apple's process. Currently, episodes were hosted on their website at digest.gaiai.xyz. ### COP30 Wrap-Up Event Samu's high priority for the following week was coordinating a COP30 wrap-up call, gathering Regen partners by mid-week—ideally Monday, Tuesday, or Wednesday. He had created a Luma event and planned to ping Dave on Telegram to identify key participants. Dave asked for clarification on the concept. Was the thinking to gather Regen ecosystem partners who had attended COP30 for a summary webinar sharing findings and reflections? Exactly that. Samu envisioned a conversation about challenges and discoveries, with himself moderating and participants sharing their updates and observations. Dave appreciated the concept but expressed concern about timing. They were running into holiday scheduling headwinds—Thanksgiving week for the American contingent. Canadians had already celebrated their Thanksgiving long ago, leaving them bemused by the American scheduling challenges. Dave thought through who from their network had attended: Mariana from Terrazos, Belen from Fundacion Pachamama and Amazon Sacred Headwaters Alliance, and likely Atosa from Asha. All three were notoriously difficult to schedule, requiring aggressive coordination to secure their participation. Samu acknowledged the challenge. Dave suggested they continue the planning via Telegram. If Samu could propose candidate dates, Dave would handle outreach to the partners he knew had attended. There might be adjacent participants worth including—perhaps GMO from SylvieTrees, or ReFi community members like Jimmy Wong. Samu confirmed Jimmy was already in the planning group and they had been messaging. They confirmed Sylvie had also attended COP30. Dave proposed first week of December as more realistic timing, allowing them to clear holiday constraints. ### Marketing Workflow Integration Samu mentioned they now had both the weekly podcast and weekly AI-generated forum posts launching as regular content streams. Dave saw opportunities for workflow optimization. He was bringing on a new executive assistant and wanted to integrate her into content distribution. If the team could establish a workflow routing podcast episodes and forum posts into Slack channels—perhaps the marketing channel—that would facilitate coordination. Samu mentioned they also had a Notion marketing request board as an alternative routing mechanism. Dave requested access to that board, offering it as the preferred workflow tool for his team's engagement with marketing outputs. ## Action Items and Strategic Homework As the meeting drew toward conclusion, Dave synthesized the emerging commitments and next steps: He would coordinate with Zach and the team about establishing every-other-week meetings—ideally agendized and focused sessions designed to mine Zach's expertise while enabling structured knowledge sharing. The registry assistant was moving toward alpha testing, with Tuesday as the target for both the story map review and potentially Becca's testing invitation. The marketing workflow would migrate into Notion, creating clear pathways for podcast and forum post distribution. First week of December emerged as the target for the COP30 digital gathering, allowing time to navigate holiday scheduling challenges with international partners. Several items entered the backlog for future consideration: optimizing the builder/developer agent for accessibility beyond the core team, establishing integration patterns that required minimal but meaningful ecosystem engagement, and creating automated transcript flows from Otter into their knowledge infrastructure. The team expressed gratitude for the coordination and momentum. Dave's appreciation for their building work was matched by their recognition of his organizational orchestration. ## Post-Meeting Reflections After Dave departed, the remaining team members took a moment to reflect on the session's energy and productivity. Shawn noted Dave's activation level—he was running point with clear focus, tracking multiple workstreams simultaneously and driving toward tangible outcomes. It was precisely the kind of engaged leadership that enabled effective distributed work. They were all executing their respective pieces, maintaining momentum across parallel efforts. The sense of coordinated progress was palpable and energizing. ### Technical Housekeeping Samu mentioned running out of tokens on his Claude Code pro plan while working on the Gaia dashboard and Regen digest page. He planned to update it at 2 PM once capacity renewed. Shawn quickly noted two items from his review: the digest needed individual episode pages, and the obvious next step of getting distribution sorted on Spotify and Apple. Samu confirmed the Spotify approval was pending, with Apple's process still ahead. At a glance, Shawn appreciated the execution—the embedded player for the latest episode looked clean on PC, and Samu confirmed it rendered well on mobile too. Some spacing refinements remained, but the implementation was 95% solid. ### MCP Testing Environment Shawn mentioned successfully locating the MCP connection interface in ChatGPT after initially struggling to find it. This opened up testing possibilities. Whenever their MCPs reached ready-for-testing status, he could begin evaluation directly in that environment. He planned to start personal testing soon—perhaps over the weekend or Monday—then recruit the broader team for more extensive validation. The testing infrastructure was falling into place. ### Strategic Foundations Shawn shared that he would spend time finalizing strategy work he had begun the previous night, planning to share it for asynchronous team discussion. Darren confirmed he had opened that document in the morning. While he hadn't fully digested it yet, it had motivated him to draft foundational ideas in response. The team acknowledged they were in drafting mode, iterating toward clarity. But the direction felt right, and the momentum was genuine—perhaps the strongest Shawn had felt in quite some time. ### Creative Expression and Momentum Samu mentioned releasing a piece of art on Zora—Darren's "liquid guy" character—more for the energy of movement than any particular strategic goal. Just maintaining momentum, keeping things flowing. The team agreed: they were moving, and the movement itself generated valuable energy. ### Planning the Next Hack Day The conversation turned to logistics for an in-person hack day the following week. Shawn and Darren wanted to meet at Samu's place, seeing him as roughly equidistant for the group. Samu was immediately enthusiastic. They discussed potential days—Wednesday was out for Samu due to a commitment, possibly Thursday. But what about the next day? Samu had an astrology reading scheduled and mentioned a Part Tech (Participatory Technology) meeting—an intersection of technology, psychedelics, and psychology—running from 2 to 6 PM with dinner included. He also needed to get winter tires installed, adding another constraint to his schedule. He offered to check with McKenzie and share details with the group, dropping the information in their Gaia chats channel. There might not be a formal link, but there was a Signal group he could add them to, or at minimum a graphic he could share. The energy was collaborative and fluid, the logistics secondary to the underlying enthusiasm for convening. ### Closing the Circle As the meeting wound down, Darren had already departed. The remaining team members confirmed they would be in touch later that afternoon, maintaining the steady rhythm of communication that sustained their distributed work. The conversation ended with the casual warmth it had begun with—colleagues building something meaningful together, navigating complexity with humor and mutual support, maintaining momentum through shared commitment to the regenerative vision animating their work. The work continued, the systems evolved, and the team moved forward together.